{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>大类编码</th>\n",
       "      <th>大类名称</th>\n",
       "      <th>中类编码</th>\n",
       "      <th>中类名称</th>\n",
       "      <th>小类编码</th>\n",
       "      <th>小类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>销售月份</th>\n",
       "      <th>商品编码</th>\n",
       "      <th>规格型号</th>\n",
       "      <th>商品类型</th>\n",
       "      <th>单位</th>\n",
       "      <th>销售数量</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>商品单价</th>\n",
       "      <th>是否促销</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>蔬果</td>\n",
       "      <td>1201</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>120109</td>\n",
       "      <td>其它蔬菜</td>\n",
       "      <td>20150101</td>\n",
       "      <td>201501</td>\n",
       "      <td>DW-1201090311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>生鲜</td>\n",
       "      <td>个</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>粮油</td>\n",
       "      <td>2014</td>\n",
       "      <td>酱菜类</td>\n",
       "      <td>201401</td>\n",
       "      <td>榨菜</td>\n",
       "      <td>20150101</td>\n",
       "      <td>201501</td>\n",
       "      <td>DW-2014010019</td>\n",
       "      <td>60g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>20150101</td>\n",
       "      <td>201501</td>\n",
       "      <td>DW-1505020011</td>\n",
       "      <td>150g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1503</td>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>150305</td>\n",
       "      <td>冷藏面食类</td>\n",
       "      <td>20150101</td>\n",
       "      <td>201501</td>\n",
       "      <td>DW-1503050035</td>\n",
       "      <td>500g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>20150101</td>\n",
       "      <td>201501</td>\n",
       "      <td>DW-1505020020</td>\n",
       "      <td>100g*8</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>11.9</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  大类编码 大类名称  中类编码  中类名称    小类编码    小类名称      销售日期    销售月份  \\\n",
       "0     0    12   蔬果  1201    蔬菜  120109    其它蔬菜  20150101  201501   \n",
       "1     1    20   粮油  2014   酱菜类  201401      榨菜  20150101  201501   \n",
       "2     2    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳  20150101  201501   \n",
       "3     3    15   日配  1503  冷藏料理  150305   冷藏面食类  20150101  201501   \n",
       "4     4    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳  20150101  201501   \n",
       "\n",
       "            商品编码    规格型号  商品类型 单位  销售数量  销售金额  商品单价 是否促销  \n",
       "0  DW-1201090311     NaN    生鲜  个   8.0   4.0   2.0    否  \n",
       "1  DW-2014010019     60g  一般商品  袋   6.0   3.0   0.5    否  \n",
       "2  DW-1505020011    150g  一般商品  袋   1.0   2.4   2.4    否  \n",
       "3  DW-1503050035    500g  一般商品  袋   1.0   6.5   8.3    否  \n",
       "4  DW-1505020020  100g*8  一般商品  袋   1.0  11.9  11.9    否  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data= pd.read_csv('F:/工程学院/大四/大数据分析综合实训/大数据分析综合实训-附件.csv',encoding='gbk')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 由于销售日期包含销售月份，所有删除销售月份列\n",
    "data.drop(['销售月份'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42816, 16)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "顾客编号      int64\n",
       "大类编码      int64\n",
       "大类名称     object\n",
       "中类编码      int64\n",
       "中类名称     object\n",
       "小类编码      int64\n",
       "小类名称     object\n",
       "销售日期      int64\n",
       "商品编码     object\n",
       "规格型号     object\n",
       "商品类型     object\n",
       "单位       object\n",
       "销售数量    float64\n",
       "销售金额    float64\n",
       "商品单价    float64\n",
       "是否促销     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对data中销售日期进行时间格式转换，coerce将无效解析设置为NaT\n",
    "data.loc[:,'销售日期'] = pd.to_datetime(data.loc[:,'销售日期'].astype(str), format='%Y-%m-%d', errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "顾客编号    0.000000\n",
       "大类编码    0.000000\n",
       "大类名称    0.000000\n",
       "中类编码    0.000000\n",
       "中类名称    0.000000\n",
       "小类编码    0.000000\n",
       "小类名称    0.000000\n",
       "销售日期    0.000047\n",
       "商品编码    0.000000\n",
       "规格型号    0.002242\n",
       "商品类型    0.000000\n",
       "单位      0.000000\n",
       "销售数量    0.000047\n",
       "销售金额    0.000000\n",
       "商品单价    0.000000\n",
       "是否促销    0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 检查data每列的缺失值的占比\n",
    "data.apply(lambda x : sum(x.isnull())/len(x), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "删除缺失值前： (42816, 16)\n",
      "删除缺失值后： (42812, 16)\n"
     ]
    }
   ],
   "source": [
    "# 删除销售日期、销售数量中的缺失值，所选列有空即删除该行\n",
    "print('删除缺失值前：', data.shape)\n",
    "data = data.dropna(subset=['销售日期','销售数量'], how='any')\n",
    "print('删除缺失值后：', data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "顾客编号    0.000000\n",
       "大类编码    0.000000\n",
       "大类名称    0.000000\n",
       "中类编码    0.000000\n",
       "中类名称    0.000000\n",
       "小类编码    0.000000\n",
       "小类名称    0.000000\n",
       "销售日期    0.000000\n",
       "商品编码    0.000000\n",
       "规格型号    0.002242\n",
       "商品类型    0.000000\n",
       "单位      0.000000\n",
       "销售数量    0.000000\n",
       "销售金额    0.000000\n",
       "商品单价    0.000000\n",
       "是否促销    0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 检查data每列的缺失值的占比\n",
    "data.apply(lambda x : sum(x.isnull())/len(x), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['顾客编号', '大类编码', '大类名称', '中类编码', '中类名称', '小类编码', '小类名称', '销售日期', '商品编码',\n",
       "       '规格型号', '商品类型', '单位', '销售数量', '销售金额', '商品单价', '是否促销'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>50%</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>顾客编号</th>\n",
       "      <td>876.898440</td>\n",
       "      <td>729.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2611.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>大类编码</th>\n",
       "      <td>17.934411</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中类编码</th>\n",
       "      <td>1799.465057</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>3436.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小类编码</th>\n",
       "      <td>179955.071662</td>\n",
       "      <td>200103.0</td>\n",
       "      <td>100101.0</td>\n",
       "      <td>343699.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售数量</th>\n",
       "      <td>1.199212</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>216.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售金额</th>\n",
       "      <td>10.609148</td>\n",
       "      <td>5.7</td>\n",
       "      <td>-145.0</td>\n",
       "      <td>5340.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>商品单价</th>\n",
       "      <td>12.541680</td>\n",
       "      <td>6.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               mean       50%       min       max\n",
       "顾客编号     876.898440     729.0       0.0    2611.0\n",
       "大类编码      17.934411      20.0      10.0      34.0\n",
       "中类编码    1799.465057    2001.0    1001.0    3436.0\n",
       "小类编码  179955.071662  200103.0  100101.0  343699.0\n",
       "销售数量       1.199212       1.0     -16.0     216.0\n",
       "销售金额      10.609148       5.7    -145.0    5340.0\n",
       "商品单价      12.541680       6.9       0.0     890.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 统计data信息\n",
    "data.describe().T[['mean', '50%', 'min', 'max']]\n",
    "# mean: 平均值\n",
    "# 50%: 中位数\n",
    "# min: 最小值\n",
    "# max: 最大值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>异常值数量</th>\n",
       "      <th>异常值占比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>销售数量</th>\n",
       "      <td>88</td>\n",
       "      <td>0.002055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售金额</th>\n",
       "      <td>85</td>\n",
       "      <td>0.001985</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      异常值数量     异常值占比\n",
       "销售数量     88  0.002055\n",
       "销售金额     85  0.001985"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 统计销售数量异常值的行数和占比\n",
    "lost_count = sum(data[\"销售数量\"]<0)\n",
    "lost_count_prop = lost_count/len(data)\n",
    "# 统计销售金额异常值的行数和占比\n",
    "lost_money = sum(data[\"销售金额\"]<0)\n",
    "lost_money_prop = lost_money/len(data)\n",
    "pd.DataFrame({'异常值数量':[lost_count,lost_money], '异常值占比':[lost_count_prop,lost_money_prop]},index=[\"销售数量\",\"销售金额\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "删除异常值之前: (42812, 16)\n",
      "删除异常值之后： (42719, 16)\n"
     ]
    }
   ],
   "source": [
    "# 删除销售数量和销售金额小于0的异常值\n",
    "print('删除异常值之前:',data.shape)\n",
    "data = data[(data.loc[:,'销售数量'] > 0) & (data.loc[:,'销售金额'] > 0)]\n",
    "print('删除异常值之后：',data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>50%</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>顾客编号</th>\n",
       "      <td>877.003956</td>\n",
       "      <td>729.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2611.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>大类编码</th>\n",
       "      <td>17.933004</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.000</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中类编码</th>\n",
       "      <td>1799.322199</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>1001.000</td>\n",
       "      <td>3432.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小类编码</th>\n",
       "      <td>179940.780894</td>\n",
       "      <td>200103.0</td>\n",
       "      <td>100101.000</td>\n",
       "      <td>343201.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售数量</th>\n",
       "      <td>1.202405</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>216.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售金额</th>\n",
       "      <td>10.669419</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.010</td>\n",
       "      <td>5340.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>商品单价</th>\n",
       "      <td>12.527585</td>\n",
       "      <td>6.9</td>\n",
       "      <td>0.300</td>\n",
       "      <td>890.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               mean       50%         min       max\n",
       "顾客编号     877.003956     729.0       0.000    2611.0\n",
       "大类编码      17.933004      20.0      10.000      34.0\n",
       "中类编码    1799.322199    2001.0    1001.000    3432.0\n",
       "小类编码  179940.780894  200103.0  100101.000  343201.0\n",
       "销售数量       1.202405       1.0       0.001     216.0\n",
       "销售金额      10.669419       5.7       0.010    5340.0\n",
       "商品单价      12.527585       6.9       0.300     890.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe().T[['mean', '50%', 'min', 'max']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "顾客编号             int64\n",
       "大类编码             int64\n",
       "大类名称            object\n",
       "中类编码             int64\n",
       "中类名称            object\n",
       "小类编码             int64\n",
       "小类名称            object\n",
       "销售日期    datetime64[ns]\n",
       "商品编码            object\n",
       "规格型号            object\n",
       "商品类型            object\n",
       "单位              object\n",
       "销售数量           float64\n",
       "销售金额           float64\n",
       "商品单价           float64\n",
       "是否促销            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将data存储为task1_1.csv\n",
    "data.to_csv('F:/工程学院/大四/大数据分析综合实训/task1_1.csv', index=False, encoding='gbk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#统计每个大类商品的销售金额，将结果保存为“task1_2.csv”。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>大类编码</th>\n",
       "      <th>大类名称</th>\n",
       "      <th>中类编码</th>\n",
       "      <th>中类名称</th>\n",
       "      <th>小类编码</th>\n",
       "      <th>小类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>商品编码</th>\n",
       "      <th>规格型号</th>\n",
       "      <th>商品类型</th>\n",
       "      <th>单位</th>\n",
       "      <th>销售数量</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>商品单价</th>\n",
       "      <th>是否促销</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>蔬果</td>\n",
       "      <td>1201</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>120109</td>\n",
       "      <td>其它蔬菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1201090311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>生鲜</td>\n",
       "      <td>个</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>粮油</td>\n",
       "      <td>2014</td>\n",
       "      <td>酱菜类</td>\n",
       "      <td>201401</td>\n",
       "      <td>榨菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-2014010019</td>\n",
       "      <td>60g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020011</td>\n",
       "      <td>150g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1503</td>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>150305</td>\n",
       "      <td>冷藏面食类</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1503050035</td>\n",
       "      <td>500g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020020</td>\n",
       "      <td>100g*8</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>11.9</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  大类编码 大类名称  中类编码  中类名称    小类编码    小类名称       销售日期           商品编码  \\\n",
       "0     0    12   蔬果  1201    蔬菜  120109    其它蔬菜 2015-01-01  DW-1201090311   \n",
       "1     1    20   粮油  2014   酱菜类  201401      榨菜 2015-01-01  DW-2014010019   \n",
       "2     2    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020011   \n",
       "3     3    15   日配  1503  冷藏料理  150305   冷藏面食类 2015-01-01  DW-1503050035   \n",
       "4     4    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020020   \n",
       "\n",
       "     规格型号  商品类型 单位  销售数量  销售金额  商品单价 是否促销  \n",
       "0     NaN    生鲜  个   8.0   4.0   2.0    否  \n",
       "1     60g  一般商品  袋   6.0   3.0   0.5    否  \n",
       "2    150g  一般商品  袋   1.0   2.4   2.4    否  \n",
       "3    500g  一般商品  袋   1.0   6.5   8.3    否  \n",
       "4  100g*8  一般商品  袋   1.0  11.9  11.9    否  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>大类名称</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>蔬果</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>粮油</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>日配</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>日配</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>日配</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  大类名称  销售金额\n",
       "0   蔬果   4.0\n",
       "1   粮油   3.0\n",
       "2   日配   2.4\n",
       "3   日配   6.5\n",
       "4   日配  11.9"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取大类名称信息和销售金额\n",
    "data_big = data[['大类名称','销售金额']]\n",
    "data_big.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "蔬果    14162\n",
       "休闲     8834\n",
       "粮油     5858\n",
       "日配     4771\n",
       "洗化     3064\n",
       "酒饮     1895\n",
       "肉禽     1241\n",
       "熟食      887\n",
       "家居      589\n",
       "冲调      588\n",
       "针织      302\n",
       "文体      265\n",
       "水产      195\n",
       "家电       50\n",
       "烘焙       18\n",
       "Name: 大类名称, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 大类名称出现的频次\n",
    "data_big['大类名称'].value_counts(dropna=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额总和</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>大类名称</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>休闲</th>\n",
       "      <td>74406.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>冲调</th>\n",
       "      <td>14022.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>家居</th>\n",
       "      <td>6458.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>家电</th>\n",
       "      <td>853.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>文体</th>\n",
       "      <td>1980.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>日配</th>\n",
       "      <td>82196.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>水产</th>\n",
       "      <td>2891.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>洗化</th>\n",
       "      <td>38048.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>烘焙</th>\n",
       "      <td>110.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>熟食</th>\n",
       "      <td>5941.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>粮油</th>\n",
       "      <td>61213.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>肉禽</th>\n",
       "      <td>25209.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>蔬果</th>\n",
       "      <td>81503.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>酒饮</th>\n",
       "      <td>55141.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>针织</th>\n",
       "      <td>5808.80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        销售金额总和\n",
       "大类名称          \n",
       "休闲    74406.20\n",
       "冲调    14022.30\n",
       "家居     6458.10\n",
       "家电      853.90\n",
       "文体     1980.80\n",
       "日配    82196.00\n",
       "水产     2891.00\n",
       "洗化    38048.00\n",
       "烘焙      110.90\n",
       "熟食     5941.94\n",
       "粮油    61213.84\n",
       "肉禽    25209.99\n",
       "蔬果    81503.85\n",
       "酒饮    55141.30\n",
       "针织     5808.80"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据大类名称列分组，求出该值对应的销售金额的总和\n",
    "data_big = data_big.groupby('大类名称').sum()\n",
    "data_big.rename(columns = {'销售金额':'销售金额总和'}, inplace=True)\n",
    "data_big"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将data_big存储为task1_2.csv\n",
    "data_big.to_csv('F:/工程学院/大四/大数据分析综合实训/task1_2.csv', index=False, encoding='gbk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "统计每个中类商品的促销销售金额和非促销销售金额，将结果保存为“task1_3.csv”。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>大类编码</th>\n",
       "      <th>大类名称</th>\n",
       "      <th>中类编码</th>\n",
       "      <th>中类名称</th>\n",
       "      <th>小类编码</th>\n",
       "      <th>小类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>商品编码</th>\n",
       "      <th>规格型号</th>\n",
       "      <th>商品类型</th>\n",
       "      <th>单位</th>\n",
       "      <th>销售数量</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>商品单价</th>\n",
       "      <th>是否促销</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>蔬果</td>\n",
       "      <td>1201</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>120109</td>\n",
       "      <td>其它蔬菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1201090311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>生鲜</td>\n",
       "      <td>个</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>粮油</td>\n",
       "      <td>2014</td>\n",
       "      <td>酱菜类</td>\n",
       "      <td>201401</td>\n",
       "      <td>榨菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-2014010019</td>\n",
       "      <td>60g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020011</td>\n",
       "      <td>150g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1503</td>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>150305</td>\n",
       "      <td>冷藏面食类</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1503050035</td>\n",
       "      <td>500g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020020</td>\n",
       "      <td>100g*8</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>11.9</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  大类编码 大类名称  中类编码  中类名称    小类编码    小类名称       销售日期           商品编码  \\\n",
       "0     0    12   蔬果  1201    蔬菜  120109    其它蔬菜 2015-01-01  DW-1201090311   \n",
       "1     1    20   粮油  2014   酱菜类  201401      榨菜 2015-01-01  DW-2014010019   \n",
       "2     2    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020011   \n",
       "3     3    15   日配  1503  冷藏料理  150305   冷藏面食类 2015-01-01  DW-1503050035   \n",
       "4     4    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020020   \n",
       "\n",
       "     规格型号  商品类型 单位  销售数量  销售金额  商品单价 是否促销  \n",
       "0     NaN    生鲜  个   8.0   4.0   2.0    否  \n",
       "1     60g  一般商品  袋   6.0   3.0   0.5    否  \n",
       "2    150g  一般商品  袋   1.0   2.4   2.4    否  \n",
       "3    500g  一般商品  袋   1.0   6.5   8.3    否  \n",
       "4  100g*8  一般商品  袋   1.0  11.9  11.9    否  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>中类名称</th>\n",
       "      <th>是否促销</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>蔬菜</td>\n",
       "      <td>否</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>酱菜类</td>\n",
       "      <td>否</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>否</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>否</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>否</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   中类名称 是否促销  销售金额\n",
       "0    蔬菜    否   4.0\n",
       "1   酱菜类    否   3.0\n",
       "2  冷藏乳品    否   2.4\n",
       "3  冷藏料理    否   6.5\n",
       "4  冷藏乳品    否  11.9"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取是否促销信息和销售金额\n",
    "data_promotion = data[['中类名称','是否促销','销售金额']]\n",
    "data_promotion.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "否    36226\n",
       "是     6493\n",
       "Name: 是否促销, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 促销与非促销出现的频次\n",
    "data_promotion['是否促销'].value_counts(dropna=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>中类名称</th>\n",
       "      <th>是否促销</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>蔬菜</td>\n",
       "      <td>否</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>酱菜类</td>\n",
       "      <td>否</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>否</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>否</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>否</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   中类名称 是否促销  销售金额\n",
       "0    蔬菜    否   4.0\n",
       "1   酱菜类    否   3.0\n",
       "2  冷藏乳品    否   2.4\n",
       "3  冷藏料理    否   6.5\n",
       "4  冷藏乳品    否  11.9"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据是否促销，拆分出销表和非促销表\n",
    "data_promotion_yes = data_promotion.loc[data_promotion['是否促销'] == '是',:]\n",
    "data_promotion_no = data_promotion.loc[data_promotion['是否促销'] == '否',:]\n",
    "data_promotion_no.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据中类名称列分组，求出该值对应的销售金额的总和\n",
    "data_promotion_yes = data_promotion_yes.groupby('中类名称').sum()\n",
    "data_promotion_yes.rename(columns = {'销售金额':'销售金额总和'}, inplace=True)\n",
    "data_promotion_no = data_promotion_no.groupby('中类名称').sum()\n",
    "data_promotion_no.rename(columns = {'销售金额':'销售金额总和'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>促销销售金额总和</th>\n",
       "      <th>非促销销售金额总和</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中类名称</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>一次性用品</th>\n",
       "      <td>70.90</td>\n",
       "      <td>727.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>乳饮料</th>\n",
       "      <td>673.50</td>\n",
       "      <td>1974.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>五谷杂粮</th>\n",
       "      <td>2935.72</td>\n",
       "      <td>9844.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>保养用品</th>\n",
       "      <td>77.30</td>\n",
       "      <td>1753.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>保温容器</th>\n",
       "      <td>117.90</td>\n",
       "      <td>28.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       促销销售金额总和  非促销销售金额总和\n",
       "中类名称                      \n",
       "一次性用品     70.90     727.30\n",
       "乳饮料      673.50    1974.40\n",
       "五谷杂粮    2935.72    9844.55\n",
       "保养用品      77.30    1753.40\n",
       "保温容器     117.90      28.00"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据中类名称合并表\n",
    "data_merge = pd.merge(data_promotion_yes, data_promotion_no, how='left', left_on='中类名称', right_on='中类名称')\n",
    "data_merge.columns = list(['促销销售金额总和', '非促销销售金额总和'])\n",
    "data_merge.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将data_big存储为task1_2.csv\n",
    "data_merge.to_csv('F:/工程学院/大四/大数据分析综合实训/task1_3.csv', index=False, encoding='gbk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "统计生鲜类产品和一般产品的每周销售金额，将结果保存为“task1_4.csv”。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>大类编码</th>\n",
       "      <th>大类名称</th>\n",
       "      <th>中类编码</th>\n",
       "      <th>中类名称</th>\n",
       "      <th>小类编码</th>\n",
       "      <th>小类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>商品编码</th>\n",
       "      <th>规格型号</th>\n",
       "      <th>商品类型</th>\n",
       "      <th>单位</th>\n",
       "      <th>销售数量</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>商品单价</th>\n",
       "      <th>是否促销</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>蔬果</td>\n",
       "      <td>1201</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>120109</td>\n",
       "      <td>其它蔬菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1201090311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>生鲜</td>\n",
       "      <td>个</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>粮油</td>\n",
       "      <td>2014</td>\n",
       "      <td>酱菜类</td>\n",
       "      <td>201401</td>\n",
       "      <td>榨菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-2014010019</td>\n",
       "      <td>60g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020011</td>\n",
       "      <td>150g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1503</td>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>150305</td>\n",
       "      <td>冷藏面食类</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1503050035</td>\n",
       "      <td>500g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020020</td>\n",
       "      <td>100g*8</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>11.9</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  大类编码 大类名称  中类编码  中类名称    小类编码    小类名称       销售日期           商品编码  \\\n",
       "0     0    12   蔬果  1201    蔬菜  120109    其它蔬菜 2015-01-01  DW-1201090311   \n",
       "1     1    20   粮油  2014   酱菜类  201401      榨菜 2015-01-01  DW-2014010019   \n",
       "2     2    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020011   \n",
       "3     3    15   日配  1503  冷藏料理  150305   冷藏面食类 2015-01-01  DW-1503050035   \n",
       "4     4    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020020   \n",
       "\n",
       "     规格型号  商品类型 单位  销售数量  销售金额  商品单价 是否促销  \n",
       "0     NaN    生鲜  个   8.0   4.0   2.0    否  \n",
       "1     60g  一般商品  袋   6.0   3.0   0.5    否  \n",
       "2    150g  一般商品  袋   1.0   2.4   2.4    否  \n",
       "3    500g  一般商品  袋   1.0   6.5   8.3    否  \n",
       "4  100g*8  一般商品  袋   1.0  11.9  11.9    否  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售日期</th>\n",
       "      <th>商品类型</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>生鲜</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        销售日期  商品类型  销售金额\n",
       "0 2015-01-01    生鲜   4.0\n",
       "1 2015-01-01  一般商品   3.0\n",
       "2 2015-01-01  一般商品   2.4\n",
       "3 2015-01-01  一般商品   6.5\n",
       "4 2015-01-01  一般商品  11.9"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取销售日期、商品类型、销售金额\n",
    "data_week_sum = data[['销售日期','商品类型','销售金额']]\n",
    "data_week_sum.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "一般商品    26011\n",
       "生鲜      16162\n",
       "联营商品      546\n",
       "Name: 商品类型, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 商品类型出现的频次\n",
    "data_week_sum['商品类型'].value_counts(dropna=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据商品类型分组，拆分出生鲜类产品表和一般产品表\n",
    "data_fresh = data_week_sum.loc[data_week_sum['商品类型'] == '生鲜',:]\n",
    "data_comm = data_week_sum.loc[data_week_sum['商品类型'] == '一般商品',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "      <th>天数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售日期</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>676.61</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>870.83</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-03</th>\n",
       "      <td>669.44</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>580.86</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>835.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              销售金额  天数\n",
       "销售日期                  \n",
       "2015-01-01  676.61   1\n",
       "2015-01-02  870.83   2\n",
       "2015-01-03  669.44   3\n",
       "2015-01-04  580.86   4\n",
       "2015-01-05  835.00   5"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算生鲜类产品表和一般产品表的日销售金额,并增加天数列用于计算周数\n",
    "data_fresh = data_fresh.groupby('销售日期').sum()[['销售金额']]\n",
    "data_fresh['天数'] = range(1,len(data_fresh)+1)\n",
    "data_comm = data_comm.groupby('销售日期').sum()[['销售金额']]\n",
    "data_comm['天数'] = range(1,len(data_comm)+1)\n",
    "data_fresh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义根据天数返回周数的序列的函数\n",
    "def weeks(DataFrame):\n",
    "    import math\n",
    "    x = DataFrame['天数'] - DataFrame['天数'].min() + 1\n",
    "    week = []\n",
    "    for i in x:\n",
    "        week.append(math.ceil(i / 7))\n",
    "    return week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "      <th>周数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售日期</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>676.61</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>870.83</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-03</th>\n",
       "      <td>669.44</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>580.86</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>835.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              销售金额  周数\n",
       "销售日期                  \n",
       "2015-01-01  676.61   1\n",
       "2015-01-02  870.83   1\n",
       "2015-01-03  669.44   1\n",
       "2015-01-04  580.86   1\n",
       "2015-01-05  835.00   1"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 增加周数列，并删除天数列\n",
    "data_fresh['周数'] = weeks(data_fresh)\n",
    "data_fresh.drop(['天数'], axis=1, inplace=True)\n",
    "data_comm['周数'] = weeks(data_comm)\n",
    "data_comm.drop(['天数'], axis=1, inplace=True)\n",
    "data_fresh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>周数</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6152.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6033.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8433.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9975.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4598.95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       销售金额\n",
       "周数         \n",
       "1   6152.86\n",
       "2   6033.68\n",
       "3   8433.36\n",
       "4   9975.00\n",
       "5   4598.95"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据周数分组,得到生鲜类产品表和一般产品表的周销售金额\n",
    "data_fresh = data_fresh.groupby('周数').sum()[['销售金额']]\n",
    "data_comm = data_comm.groupby('周数').sum()[['销售金额']]\n",
    "data_fresh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>生鲜类产品周销售金额</th>\n",
       "      <th>一般产品周销售金额</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>周数</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6152.86</td>\n",
       "      <td>17402.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6033.68</td>\n",
       "      <td>18281.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8433.36</td>\n",
       "      <td>18800.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9975.00</td>\n",
       "      <td>20473.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4598.95</td>\n",
       "      <td>29570.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7236.44</td>\n",
       "      <td>29049.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8057.59</td>\n",
       "      <td>48419.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3041.81</td>\n",
       "      <td>13793.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5267.77</td>\n",
       "      <td>14508.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6977.27</td>\n",
       "      <td>14593.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>8431.41</td>\n",
       "      <td>14568.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5898.95</td>\n",
       "      <td>16580.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>6283.54</td>\n",
       "      <td>16093.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>6512.13</td>\n",
       "      <td>17624.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7562.95</td>\n",
       "      <td>17947.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7449.94</td>\n",
       "      <td>19618.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4037.43</td>\n",
       "      <td>10491.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    生鲜类产品周销售金额  一般产品周销售金额\n",
       "周数                       \n",
       "1      6152.86   17402.58\n",
       "2      6033.68   18281.02\n",
       "3      8433.36   18800.83\n",
       "4      9975.00   20473.63\n",
       "5      4598.95   29570.39\n",
       "6      7236.44   29049.27\n",
       "7      8057.59   48419.30\n",
       "8      3041.81   13793.24\n",
       "9      5267.77   14508.61\n",
       "10     6977.27   14593.55\n",
       "11     8431.41   14568.58\n",
       "12     5898.95   16580.61\n",
       "13     6283.54   16093.96\n",
       "14     6512.13   17624.47\n",
       "15     7562.95   17947.20\n",
       "16     7449.94   19618.40\n",
       "17     4037.43   10491.39"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将两张周销售金额表合并\n",
    "data_week_sum = pd.concat([data_fresh, data_comm], axis=1, ignore_index=True)\n",
    "data_week_sum.columns = list(['生鲜类产品周销售金额', '一般产品周销售金额'])\n",
    "data_week_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将data_week_sum存储为task1_4.csv\n",
    "data_week_sum.to_csv('F:/工程学院/大四/大数据分析综合实训/task1_4.csv', index=False, encoding='gbk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "统计每位顾客每月的消费额及消费天数，将结果保存为“task1_5.csv”，并在报告中列出用户编号为 0-10 的结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号       销售日期  销售金额\n",
       "0     0 2015-01-01   4.0\n",
       "1     1 2015-01-01   3.0\n",
       "2     2 2015-01-01   2.4\n",
       "3     3 2015-01-01   6.5\n",
       "4     4 2015-01-01  11.9"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取顾客编号、销售日期、销售金额\n",
    "data_customer = data[['顾客编号','销售日期','销售金额']]\n",
    "data_customer.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-40-77cf35c2a2ec>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_customer['月份'] = [x.month for x in data_customer['销售日期']]\n",
      "D:\\Anaconda\\anaconda\\lib\\site-packages\\pandas\\core\\frame.py:3990: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>月份</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  销售金额  月份\n",
       "0     0   4.0   1\n",
       "1     1   3.0   1\n",
       "2     2   2.4   1\n",
       "3     3   6.5   1\n",
       "4     4  11.9   1"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据销售日期列获取消费月份列\n",
    "data_customer['月份'] = [x.month for x in data_customer['销售日期']]\n",
    "data_customer.drop(['销售日期'], axis=1, inplace=True)\n",
    "data_customer.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 拆分出四个月的表\n",
    "data_month1 = data_customer.loc[data_customer['月份'] == 1,:]\n",
    "data_month2 = data_customer.loc[data_customer['月份'] == 2,:]\n",
    "data_month3 = data_customer.loc[data_customer['月份'] == 3,:]\n",
    "data_month4 = data_customer.loc[data_customer['月份'] == 4,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据顾客编号列分组，求出每位顾客每月的消费额\n",
    "data_month1_cost = data_month1.groupby('顾客编号').sum()\n",
    "data_month1_cost.drop(['月份'], axis=1, inplace=True)\n",
    "data_month2_cost = data_month2.groupby('顾客编号').sum()\n",
    "data_month2_cost.drop(['月份'], axis=1, inplace=True)\n",
    "data_month3_cost = data_month3.groupby('顾客编号').sum()\n",
    "data_month3_cost.drop(['月份'], axis=1, inplace=True)\n",
    "data_month4_cost = data_month4.groupby('顾客编号').sum()\n",
    "data_month4_cost.drop(['月份'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1月消费额</th>\n",
       "      <th>2月消费额</th>\n",
       "      <th>3月消费额</th>\n",
       "      <th>4月消费额</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>顾客编号</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12.30</td>\n",
       "      <td>30.30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.70</td>\n",
       "      <td>30.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>67.39</td>\n",
       "      <td>360.97</td>\n",
       "      <td>68.87</td>\n",
       "      <td>49.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>154.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      1月消费额   2月消费额  3月消费额   4月消费额\n",
       "顾客编号                              \n",
       "0     11.05    0.00   0.00   13.60\n",
       "1     12.30   30.30   0.00    0.00\n",
       "2     48.70   30.00   0.00    0.00\n",
       "3     67.39  360.97  68.87   49.28\n",
       "4     27.90    0.00   0.00  154.94"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将四个消费额表连接，并将NaN替换成0\n",
    "data_month1234_cost = pd.concat([data_month1_cost, data_month2_cost, data_month3_cost, data_month4_cost], axis=1, ignore_index=True)\n",
    "data_month1234_cost.columns = list(['1月消费额', '2月消费额', '3月消费额', '4月消费额'])\n",
    "data_month1234_cost.fillna(0, inplace=True)\n",
    "data_month1234_cost.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据顾客编号列，求出每位顾客每月的消费次数\n",
    "data_month1_times = data_month1['顾客编号'].value_counts(dropna=False)\n",
    "data_month2_times = data_month2['顾客编号'].value_counts(dropna=False)\n",
    "data_month3_times = data_month3['顾客编号'].value_counts(dropna=False)\n",
    "data_month4_times = data_month4['顾客编号'].value_counts(dropna=False)\n",
    "\n",
    "data_month1_times = pd.DataFrame({'顾客编号':data_month1_times.index, '次数':data_month1_times.values})\n",
    "data_month2_times = pd.DataFrame({'顾客编号':data_month2_times.index, '次数':data_month2_times.values})\n",
    "data_month3_times = pd.DataFrame({'顾客编号':data_month3_times.index, '次数':data_month3_times.values})\n",
    "data_month4_times = pd.DataFrame({'顾客编号':data_month4_times.index, '次数':data_month4_times.values})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>1月消费次数</th>\n",
       "      <th>2月消费次数</th>\n",
       "      <th>3月消费次数</th>\n",
       "      <th>4月消费次数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>51</td>\n",
       "      <td>124</td>\n",
       "      <td>32.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>92</td>\n",
       "      <td>98</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>47</td>\n",
       "      <td>90</td>\n",
       "      <td>7.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>108</td>\n",
       "      <td>84</td>\n",
       "      <td>17.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>77</td>\n",
       "      <td>30.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  1月消费次数  2月消费次数  3月消费次数  4月消费次数\n",
       "0    51     124    32.0    19.0    38.0\n",
       "1    92      98    28.0     0.0     0.0\n",
       "2    47      90     7.0    61.0    34.0\n",
       "3   108      84    17.0    43.0    29.0\n",
       "4    12      77    30.0    47.0    25.0"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将四个消费次数表连接\n",
    "data_month12_times = pd.merge(data_month1_times, data_month2_times, how='left', left_on='顾客编号', right_on='顾客编号')\n",
    "data_month34_times = pd.merge(data_month3_times, data_month4_times, how='left', left_on='顾客编号', right_on='顾客编号')\n",
    "data_month1234_times = pd.merge(data_month12_times, data_month34_times, how='left', left_on='顾客编号', right_on='顾客编号')\n",
    "data_month1234_times.columns = list(['顾客编号', '1月消费次数', '2月消费次数', '3月消费次数', '4月消费次数'])\n",
    "data_month1234_times.fillna(0, inplace=True)\n",
    "data_month1234_times.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>1月消费额</th>\n",
       "      <th>2月消费额</th>\n",
       "      <th>3月消费额</th>\n",
       "      <th>4月消费额</th>\n",
       "      <th>1月消费次数</th>\n",
       "      <th>2月消费次数</th>\n",
       "      <th>3月消费次数</th>\n",
       "      <th>4月消费次数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>11.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.60</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>12.30</td>\n",
       "      <td>30.30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>48.70</td>\n",
       "      <td>30.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>67.39</td>\n",
       "      <td>360.97</td>\n",
       "      <td>68.87</td>\n",
       "      <td>49.28</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>27.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>154.94</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>57.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>33.50</td>\n",
       "      <td>48.34</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>23.99</td>\n",
       "      <td>65.67</td>\n",
       "      <td>11.50</td>\n",
       "      <td>49.14</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>138.37</td>\n",
       "      <td>0.00</td>\n",
       "      <td>61.49</td>\n",
       "      <td>52.07</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>190.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>111.85</td>\n",
       "      <td>74.72</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>80.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>220.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>117.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    顾客编号   1月消费额   2月消费额   3月消费额   4月消费额  1月消费次数  2月消费次数  3月消费次数  4月消费次数\n",
       "0      0   11.05    0.00    0.00   13.60     4.0     0.0     0.0     0.0\n",
       "1      1   12.30   30.30    0.00    0.00     4.0     3.0     0.0     0.0\n",
       "2      2   48.70   30.00    0.00    0.00    12.0    10.0     0.0     0.0\n",
       "3      3   67.39  360.97   68.87   49.28     9.0    17.0    16.0    10.0\n",
       "4      4   27.90    0.00    0.00  154.94     4.0     0.0     0.0     0.0\n",
       "5      5   57.60    0.00   33.50   48.34     7.0     0.0     4.0     4.0\n",
       "6      6   23.99   65.67   11.50   49.14     3.0     8.0     1.0     9.0\n",
       "7      7  138.37    0.00   61.49   52.07     6.0     0.0     8.0    11.0\n",
       "8      8  190.49    0.00  111.85   74.72    12.0     0.0    11.0     5.0\n",
       "9      9   80.40    0.00    0.00    0.00     9.0     0.0     0.0     0.0\n",
       "10    10  220.63    0.00  117.03    0.00    16.0     0.0    11.0     0.0"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 消费额表和消费次数表连接\n",
    "data_cost_times = pd.merge(data_month1234_cost, data_month1234_times, how='left', left_on='顾客编号', right_on='顾客编号')\n",
    "data_cost_times.head(11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将data_cost_times存储为task1_5.csv\n",
    "data_cost_times.to_csv('F:/工程学院/大四/大数据分析综合实训/task1_5.csv', index=False, encoding='gbk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "绘制生鲜类商品和一般商品每天销售金额的折线图，并分析比较两类产品的销售状况。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('F:/工程学院/大四/大数据分析综合实训/task1_1.csv', encoding='gbk')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对data中销售日期进行时间格式转换，coerce将无效解析设置为NaT\n",
    "data.loc[:,'销售日期'] = pd.to_datetime(data.loc[:,'销售日期'].astype(str), format='%Y-%m-%d', errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品类型</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>生鲜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>一般商品</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>一般商品</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>一般商品</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>一般商品</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   商品类型       销售日期  销售金额\n",
       "0    生鲜 2015-01-01   4.0\n",
       "1  一般商品 2015-01-01   3.0\n",
       "2  一般商品 2015-01-01   2.4\n",
       "3  一般商品 2015-01-01   6.5\n",
       "4  一般商品 2015-01-01  11.9"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取商品类型、销售日期、销售金额\n",
    "data_new = data[['商品类型','销售日期','销售金额']]\n",
    "data_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "商品类型    0.0\n",
       "销售日期    0.0\n",
       "销售金额    0.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 检查每个列的缺失值的占比\n",
    "data_new.apply(lambda x : sum(x.isnull())/len(x), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据商品类型，拆分为生鲜表和一般商品表\n",
    "data_query1 = data_new.loc[:,'商品类型'] == '生鲜'\n",
    "data_query2 = data_new.loc[:,'商品类型'] == '一般商品'\n",
    "data_fresh = data_new.loc[data_query1,:]\n",
    "data_comm = data_new.loc[data_query2,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售日期</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>676.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>870.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-03</th>\n",
       "      <td>669.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>580.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>835.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              销售金额\n",
       "销售日期              \n",
       "2015-01-01  676.61\n",
       "2015-01-02  870.83\n",
       "2015-01-03  669.44\n",
       "2015-01-04  580.86\n",
       "2015-01-05  835.00"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据销售日期分组，求生鲜类商品和一般商品的每天销售金额\n",
    "data_fresh_cost = data_fresh.groupby('销售日期').sum()[['销售金额']]\n",
    "data_comm_cost = data_comm.groupby('销售日期').sum()[['销售金额']]\n",
    "data_fresh_cost.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入模块\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "# notebook嵌入图片\n",
    "%matplotlib inline\n",
    "# 提高分辨率\n",
    "%config InlineBackend.figure_format='retina'\n",
    "# 用来正常显示中文标签\n",
    "from matplotlib.font_manager import FontProperties\n",
    "font = FontProperties(fname=\"C:/Windows/Fonts/SimHei.ttf\")\n",
    "# 忽略警告\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 397,
       "width": 624
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置绘图风格\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "# 设置图框的大小\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "# 前两个1表示共有1*1个子图，最后一个1表示第1个子图\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# 绘图--生鲜类商品销售折线图\n",
    "plt.plot(data_fresh_cost.index, # x轴数据\n",
    "         data_fresh_cost.values, # y轴数据\n",
    "         linestyle = '-', # 折线类型\n",
    "         linewidth = 2, # 折线宽度\n",
    "         color = 'steelblue', # 折线颜色\n",
    "         marker = 'o', # 点的形状\n",
    "         markersize = 6, # 点的大小\n",
    "         markeredgecolor='black', # 点的边框色\n",
    "         markerfacecolor='steelblue',\n",
    "         label = '生鲜类商品') # 点的填充色\n",
    "         \n",
    "# 绘图--一般商品销售折线图\n",
    "plt.plot(data_comm_cost.index, # x轴数据\n",
    "         data_comm_cost.values, # y轴数据\n",
    "         linestyle = '-', # 折线类型\n",
    "         linewidth = 2, # 折线宽度\n",
    "         color = '#ff9999', # 折线颜色\n",
    "         marker = 'o', # 点的形状\n",
    "         markersize = 6, # 点的大小\n",
    "         markeredgecolor='black', # 点的边框色\n",
    "         markerfacecolor='#ff9999',\n",
    "         label = '一般商品') # 点的填充色\n",
    "\n",
    "# 添加标题和坐标轴标签\n",
    "plt.title('每日销售金额折线图', fontproperties=font)\n",
    "plt.xlabel('日期', fontproperties=font)\n",
    "plt.ylabel('销售金额', fontproperties=font)\n",
    "# 显示label\n",
    "plt.legend(prop=font)\n",
    "\n",
    "# 日期刻度标签60度倾斜\n",
    "fig.autofmt_xdate(rotation = 60)\n",
    "\n",
    "# 设置x轴显示密度间隔为5\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(5))\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "按月绘制各大类商品销售金额的占比饼图，并分析其销售状况。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>顾客编号</th>\n",
       "      <th>大类编码</th>\n",
       "      <th>大类名称</th>\n",
       "      <th>中类编码</th>\n",
       "      <th>中类名称</th>\n",
       "      <th>小类编码</th>\n",
       "      <th>小类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>商品编码</th>\n",
       "      <th>规格型号</th>\n",
       "      <th>商品类型</th>\n",
       "      <th>单位</th>\n",
       "      <th>销售数量</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>商品单价</th>\n",
       "      <th>是否促销</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>蔬果</td>\n",
       "      <td>1201</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>120109</td>\n",
       "      <td>其它蔬菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1201090311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>生鲜</td>\n",
       "      <td>个</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>粮油</td>\n",
       "      <td>2014</td>\n",
       "      <td>酱菜类</td>\n",
       "      <td>201401</td>\n",
       "      <td>榨菜</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-2014010019</td>\n",
       "      <td>60g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020011</td>\n",
       "      <td>150g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1503</td>\n",
       "      <td>冷藏料理</td>\n",
       "      <td>150305</td>\n",
       "      <td>冷藏面食类</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1503050035</td>\n",
       "      <td>500g</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>日配</td>\n",
       "      <td>1505</td>\n",
       "      <td>冷藏乳品</td>\n",
       "      <td>150502</td>\n",
       "      <td>冷藏加味酸乳</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>DW-1505020020</td>\n",
       "      <td>100g*8</td>\n",
       "      <td>一般商品</td>\n",
       "      <td>袋</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>11.9</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   顾客编号  大类编码 大类名称  中类编码  中类名称    小类编码    小类名称       销售日期           商品编码  \\\n",
       "0     0    12   蔬果  1201    蔬菜  120109    其它蔬菜 2015-01-01  DW-1201090311   \n",
       "1     1    20   粮油  2014   酱菜类  201401      榨菜 2015-01-01  DW-2014010019   \n",
       "2     2    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020011   \n",
       "3     3    15   日配  1503  冷藏料理  150305   冷藏面食类 2015-01-01  DW-1503050035   \n",
       "4     4    15   日配  1505  冷藏乳品  150502  冷藏加味酸乳 2015-01-01  DW-1505020020   \n",
       "\n",
       "     规格型号  商品类型 单位  销售数量  销售金额  商品单价 是否促销  \n",
       "0     NaN    生鲜  个   8.0   4.0   2.0    否  \n",
       "1     60g  一般商品  袋   6.0   3.0   0.5    否  \n",
       "2    150g  一般商品  袋   1.0   2.4   2.4    否  \n",
       "3    500g  一般商品  袋   1.0   6.5   8.3    否  \n",
       "4  100g*8  一般商品  袋   1.0  11.9  11.9    否  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>大类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>蔬果</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>粮油</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>日配</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>日配</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>日配</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  大类名称       销售日期  销售金额\n",
       "0   蔬果 2015-01-01   4.0\n",
       "1   粮油 2015-01-01   3.0\n",
       "2   日配 2015-01-01   2.4\n",
       "3   日配 2015-01-01   6.5\n",
       "4   日配 2015-01-01  11.9"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取销售日期、大类名称、销售金额\n",
    "data_new = data[['大类名称','销售日期','销售金额']]\n",
    "data_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 添加一列作为月份\n",
    "data_new['月份'] = [x.month for x in data_new['销售日期']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>大类名称</th>\n",
       "      <th>销售日期</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>月份</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>蔬果</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>粮油</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>日配</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>日配</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>日配</td>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  大类名称       销售日期  销售金额  月份\n",
       "0   蔬果 2015-01-01   4.0   1\n",
       "1   粮油 2015-01-01   3.0   1\n",
       "2   日配 2015-01-01   2.4   1\n",
       "3   日配 2015-01-01   6.5   1\n",
       "4   日配 2015-01-01  11.9   1"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "蔬果    14162\n",
       "休闲     8834\n",
       "粮油     5858\n",
       "日配     4771\n",
       "洗化     3064\n",
       "酒饮     1895\n",
       "肉禽     1241\n",
       "熟食      887\n",
       "家居      589\n",
       "冲调      588\n",
       "针织      302\n",
       "文体      265\n",
       "水产      195\n",
       "家电       50\n",
       "烘焙       18\n",
       "Name: 大类名称, dtype: int64"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_new['大类名称'].value_counts(dropna=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 拆分出四个月的表\n",
    "data_month1 = data_new.loc[data_new['月份'] == 1,:]\n",
    "data_month2 = data_new.loc[data_new['月份'] == 2,:]\n",
    "data_month3 = data_new.loc[data_new['月份'] == 3,:]\n",
    "data_month4 = data_new.loc[data_new['月份'] == 4,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据大类名称分组，求各大类商品的每月销售金额\n",
    "data_month_cost1 = data_month1.groupby('大类名称').sum()[['销售金额']]\n",
    "data_month_cost2 = data_month2.groupby('大类名称').sum()[['销售金额']]\n",
    "data_month_cost3 = data_month3.groupby('大类名称').sum()[['销售金额']]\n",
    "data_month_cost4 = data_month4.groupby('大类名称').sum()[['销售金额']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 467,
       "width": 572
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画饼图\n",
    "\n",
    "# 设置图框的大小\n",
    "fig = plt.figure(figsize=(10,8))\n",
    "# 前两个1表示共有1*1个子图，最后一个1表示第1个子图\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# 绘制饼图，textprops={'fontproperties':font}显示中文\n",
    "plt.pie(x=data_month_cost1.values,\n",
    "        labels=data_month_cost1.index,\n",
    "        autopct='%.1f%%',\n",
    "        shadow=False,\n",
    "        startangle=90,\n",
    "        center = (3,3),\n",
    "        textprops={'fontproperties':font})\n",
    "\n",
    "# 添加标题，fontproperties=font显示中文\n",
    "plt.title(\"1月份销售金额\", fontproperties=font)\n",
    "# 显示图例，prop=font显示中文\n",
    "plt.legend(prop=font)\n",
    "# 饼图保持圆形\n",
    "plt.axis('equal')\n",
    "# 显示图像\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tt3yuBQQEsGTJEnbu3EmzZs3Yu3cvDRo0ADxbt+etAxQVFcUrr7yC2Wxm+fLlfPDBB2zfvp2//e1vvP322xd8FxERESkfFPCIiIhcIx566CF2795Nr169SExMJDEx0XstJiaGu+++2/t51qxZVK1alTvvvLNYnu12u/OdS0hI4Msvv+TFF1/0OZ+3gHJERMQF+xs9ejSrV68mOzvbJ+ApaIpWUevS5I0Wql69+gW3hQfPTlx56wAV5vHHH2fy5Mk8//zz3HPPPdSoUSNfm/Hjx1OnTp0i1wYqTN7UrBo1avDqq6/yf//3f9SsWZNWrVpx++2306BBA3744YdL7ldERETKJgU8IiIi14CTJ0+yYcMGAObMmZNvOtAdd9zhDXi2bNnCggULGDRo0AVDDID09HSg8N2pAGw2G+BZ6yYgIIAjR47wwAMPEB0dzdChQ33abtu2DSDfwsvn279/PwCrV6+mR48evPvuu0DBQVKevAWIC5I3xctut2OxWAptd76ingWe0GjatGnceeedvPbaa8yYMcPn+uLFi9myZQsLFy4sdKrc+Ro2bOjz+cEHHwTOrR+0YMECli1bRtOmTenbty/jxo3jzjvv5IcffqBq1aoX9U4iIiJSdingERERuQZUq1btgoEEeEbP9OnTh9DQUIYNG1Zou9TUVJ566ilcLhe//vorQJEhQt46MXa7nVWrVtGrVy/S09NZvnw5lSpVAqB///5s2LCBpKQkTCYTt956a6H9rV69GoDevXvz8ccfe8Ol89ejyfP777/z0ksvee8paM2cvACqX79+9OvXr9Dnni9vS/I/+/jjjzl79izBwcEEBQVRr149ateuzfTp03120Zo8eTIxMTEcP36cyZMn43A4sNvtdOjQgRtvvNHbX947ff/9995pdb169cJms7F+/XpeeuklfvrpJ95//33uueceAMaOHYvNZmPy5MmMHDnSZ9cuERERKZ8U8IiIiIjXd999x9GjRxk3blyRI2iioqJIT09n7dq11K9fn5dffpkmTZoU2j4vpLBYLMTExBAcHMzSpUt91vhp2bIl69ev58EHH+Tpp58uMjAaNGgQ+/bt48MPP/QZOZSbm5uvbcOGDdm+fTt2u52BAwdSsWLFfG1SU1MBGDduHA899FChz83zl7/8pcBngWfr9oSEBIKDg73TqPJGGAHs3buXf//7397Pr7zyCk6n07ubVu3atX0CnryRR/Xr1/euwRMaGorFYmHKlCns3LmTr776iq5du/rUMXbsWI4fP87o0aMv+D4iIiJS9hncF/PrPBEREblmpKWlFRiC/JnFYvEu9HupbDabz/beJe3IkSNUr1690Clndrud9PR0wsPDMZlMV62uK+V0Ojl58mS+BaVFRETk2qOAR0REROQyJSYmEhsbWyxhVUpKitbKERERkctm9HcBIiIiImVVjx49aNOmjXeR5oLcfPPNdOzY8YJ9/c///A933XUXVqu1OEsUERGRa4QCHhEREZHLsHr1arZu3cqYMWMwGo3YbDYyMjLyhT0OhwOn01lkX9u2bWPfvn20adPGZ4rY7NmzMRgMhR5PPPFEibybiIiIlD1aZFlERETkMrz99tsA3HnnnT7n9+7d610MGSAwMPCCU7gmT55MgwYNGD58uM/50NBQAD799FNatWrlc61x48aYzebLrl9ERETKFwU8IiIiIpfo22+/5ccff2TatGnedXOsVisWi4Xo6OhL6uvw4cN8/vnnfP3115hMJrZs2cLx48fp0KEDAQEBANSpU4cbbrgh372FLRotIiIi1x59VyAiIiJyCVJSUnjmmWd44okn+Oc//3nF/Q0dOpQ2bdp41+kZM2YMX375JT/88IM34CmM0ajZ9iIiIuKh7wpERERELpLL5aJnz564XC5ee+0179o6LpeL7OxsbDYbmZmZRa65Y7fbycjIAODzzz8nLi6OcePGAbB582bi4uLo0KEDd999d8m/kIiIiJQbGsEjIiIicpEOHTrE7t27uf3226lVq1a+63PnzmXAgAGkp6f7nN+8eTMGg8H7OSAgALvdzgsvvEBQUBCPP/44VquV5ORkatasyezZs0v6VURERKScUcAjIiIicpHq1avHnj17OHbsGJ07d+arr75iw4YNTJ06FavVyq233sp7771HUFCQd3rVsGHDiIqK4qWXXgI8o31yc3MxGAwMGDCAzMxMmjVrxg8//MCCBQtYunQpUVFRALjdbr+9q4iIiJQtCnhERERELoHZbCY2NpbY2Fh27tzJtm3beOSRR7zXz99BC2D06NHUqFGDhx56KF9fo0aNAmDPnj08++yzvPHGG7Ru3dp7/ULbqzscjit5FRERESlHFPCIiIiIXILNmzfz+++/ExQUxJ49e8jJyeGrr77C6XSSnZ3NE088cUn9nThxgk6dOnHbbbcxbNgwn2u5ublA/q3Y81gslst7CRERESl3DG6N/RURERG5aP/+97956623Cr3+52+tbr75ZmrVqsWiRYvytf3ll1/o1q0bR44cYcSIEYAn8Dly5AiDBw/m1ltv5cSJE4U+KzIykurVq1/mm4iIiEh5ooBHRERE5BJYLBaMRiPBwcG8/PLLzJ8/n4MHD+JyucjKyiIiIsKnfVEBz4YNG7xTskwmE3Xr1qVmzZpERUUxfvx46tatC3imap2/ZbrD4SAwUAOxRURE5Bxtky4iIiJyCcxmM8HBwfnOG42eb6vyplVdjNtuu42vv/6affv2kZOTw549e1i5ciVxcXHecGf79u3cfPPNbN++HYDDhw9zyy23MH78+GJ4GxERESkvFPCIiIiIFINdu3bRqlUrNmzYcEn3de3alfr163sDIrfbTWJiIrt27cJisdCzZ08SEhJISUkBoEqVKtjtdoYNG8aqVauK/T1ERESkbFLAIyIiInKZ8nax+uyzz2jVqhVnz56lYsWKF31/Wloav/76K/Pnz2fUqFG0b9+eKlWq0KRJE3755Reefvppdu7cycyZM/nHP/4BQGhoKHFxcYSGhtKjRw/OnDlTIu8mIiIiZYsCHhEREZHLtG/fPg4fPsxjjz3GrbfeyrZt22jRooVPm6KWO2zfvj0tW7bk0UcfZeLEiTidTgYNGkR8fDw//fQTc+bM4Z133qF3794+9zVq1IgpU6Zw4sQJnn322ZJ4NRERESljtMiyiIiIyGVwuVxUqVKFs2fP8sILLzBu3DifhZDzNG3alLp16xIfH5/v2tKlS/n+++958MEHue222wgKCgLg9ddf55VXXuFf//oXb7/9dqE1PPzwwyxatIhNmzbRvHnz4ns5ERERKXMU8IiIiIhcptmzZ3Pw4EFeffXVQts0aNCA2rVrX9J6OWlpaXz00UcMGTKkyHanTp3iwIED3HrrrRfdt4iIiJRPCnhEREREREREygir1UpqaioZGRk4nU5/lyMXEBAQQEREBFFRUZhMphJ9lgIeERERERERkTLAarVy4MABTCYTZrOZgIAADAaDv8uSQrjdbpxOJxaLBavVSr169Uo05NEiyyIiIiIiIiJlQGpqKiaTibCwMAIDAxXulHIGg4HAwEDCwsIwmUykpqaW6PMU8IiIiIiIiIiUARkZGZjNZn+XIZfBbDaTkZFRos9QwCMiIiIiIiJSBjidzgJ3bJTSLyAgoMTXTFLAIyIiIiIiIlJGaFpW2XQ1/rsp4BERERERERERKeMU8IiIiIiIiIiIlHEKeERERERERETkmnb8+HFGjhyJ3W73dymXLdDfBYiIiIiIiIiIXI7Ro0dTu3Zt7r33XqKionyuDRo0iGPHjvHVV19dsJ/ly5czY8YMQkJCGD58uLdvgMDAQIzGgsfHBAcHM2DAgCt8i+JhcLvdbn8XISIiIiIiIiJFS0hIIDo6utDrlt73XcVqLp159rJi7S83N5frr7+egIAANm7cmO/fpkePHhw6dIh169ZdVH89evRg5cqVfPvtt7Rq1YoGDRpccGvzSpUqsWfPnovqPzk5maZNm15U28uhETwiIiIiIiIiUuasWrUKq9VKr169Cgy+AgICLmlb+X/96180aNCABg0aALBlyxZMJpO3nz/vhNWrVy+2bt16ZS9RjLQGj4iIiIiIiIiUOZ999hkA3bp1K/C60WgsdGpVnp07d1K9enVGjRrFjTfeyGuvvUblypUBiIiI4J///Ce33357oducBwcHX8EbFC+N4BERERERERGRMuXo0aOsXLkSgFq1arF//36ys7MxmUzeMCYnJwebzcbevXu997ndbmw2G7Vr1yYyMpKIiAicTmehQY3VaiUrK6vkX6gYKOARERERERERkTJlxowZuFwu7+dx48bx9ddfF9i2devW+c7Nnz+fu+66i4iICMAzEsdut/Pzzz9jNpsJDAzEYDCQlZWFy+Vi27ZtANhsNqxWKzfddFMJvNWVUcAjIiIiIiIiImXGqVOnmDNnDlWrViUlJQWAiRMnMmXKFIKCggD497//zcyZMwF47LHHmDBhAgAulwu73e5dm+f8qVcZGRk8+OCDBT7znnvu8fm8fv364n2pYqCAR0RERERERETKjLfffhuXy8VTTz3F22+/DUBISIj3usPhYOHChd7PCxYsYMiQIdSoUQOj0YjJZCqw3/DwcObOnUtQUBCBgYF8//33zJo1i+joaD788EPg3Aie6tWrl+AbXh4FPCIiIiIiIiJSJpw+fZrFixfTu3dvqlWrVmCbFStWcPr0acLCwjAYDGRmZjJlyhRGjx5dZN/BwcG0a9cOAKfTydChQwEwmUzceuut7Nmzh0aNGhXvCxUj7aIlIiIiIiIiImVClSpVmDNnDs8//3yhbaZOnUqNGjX4+9//Tp06dbj77ruZM2cOO3bsuOjnzJ49mwMHDlC1alUA5syZw1133cWaNWuu+B1KigIeERERERERESkz2rRpQ1RUVIHXVq9ezcaNG+nduzeBgZ5JS4MHD8bhcDB48GCcTucF+z906BBvvPEGDz74IC1atACga9euxMbG0qdPHxITE4vvZYqRAh4RERERERERKfNsNhuvvPIKlSpVom/fvt7zLVq0oFu3bmzfvp1Ro0YV2UdWVha9e/cmNDSUN99803s+LCyMjz/+GJfLRZ8+fcjMzCyx97hcCnhEREREREREpMybMGECu3bt4vnnnycsLMzn2quvvkqVKlWYNWsWs2bNKvD+nJwc+vTpw65du5gwYUK+UUINGjTg9ddfZ//+/SxdurTE3uNyKeARERERERERkTJt8eLFTJkyhSZNmvDUU0/lu16lShVmzJhBQEAAI0aM4M0338Tlcvm0GTNmDKtXr+bll1/mvvvuA8But2O3271tevbsySeffEL37t1L9oUugwIeERERERERESmzUlJS+Ne//kVQUBBTp071rr3zZ23atGH8+PEYjUaSkpI4c+YMDofDe33UqFG88847vPDCC95zNpvNJ+AxGAy0b9/e53NpoW3SRURERERERMoB8+xl/i7hqrLZbABERUWxdu1afvnlF5o1a+a9XtCCyj169CA2NpZWrVphNBo5duyY91pAQABPPvmkT/vQ0FAqVKjgc+7QoUNYLBaSkpIwmUzF+UpXRAGPiIiIiIiIiJQ5VqsV8AQ5lStX9k6rypOVleUzQifPrbfe6v372bNni3zG3Llz850bO3YscXFxALz88suXXHdJUcAjIiIiIiIiImWO0WikQYMGhW59npGRQW5ubpF93HjjjSQnJ1/Sc4cMGcLdd99Nq1atqFGjxiXdW5IMbrfb7e8iRERERERERKRoCQkJREdH+7sMuUzJyck0bdq0xPrXIssiIiIiIiIiImWcpmiJiIiI37idDlyZGbgy0nFlpXv+npWBKzcHt9WK22bFbbX86c8/zueds1px2/645nSCyw24we0GtwvcYKxcBVdqChgM5x1GMBo8u18YjRiCgj2HyYQhyATBf3wONmEwh2A0mzGYQjCEhHr+bg71nA8JxRAWjjEsgoDwSIwRkRiCgv39TysiIiLXGAU8IiIiUmxcFgvO1OQ/jhRcaam4MjNwZmbgykz/4/gjxMlIx52bfVXqMphDcGVlXJVnARhMZozhkRjDI6j6SH8CwiIgONhzmILP/T3vc1DQVesrwewAACAASURBVKtNREREyicFPCIiInJRnBlpOFNTcJ4+5fkzNRnn6WSfc1czRCnN3FYLTqsF5+lTGNIzITOn6BsCAiDEDCEhfxx/+rvJ5Bl1JCIiIlIIBTwiIiICgNvlwplyEsfxwziOH8V+/DCO40dwHD+CM+UE7j+2IpWLZwg2YTQGXLih0wlZ2Z6jIEYjmM3nAp/QEN8AyGxWACQiInKNU8AjIiJyDTkX4niCm/NDHMep42C3+bvEcsUYFlE8HblckJPjOQpiMHhCnrAKEBYG4WHn/gy4iIBJREREyjwFPCIiIuWU88xp7AeTsB3Yi/3gXuwHkrAfPagQ5yoyhhdTwHMhbjfk5nqOlNO+10JCfAOf8DCoUEHBj4iISDmjgEdERKSMc9us2A/tx3ZwL/YDe7EfTMJ+MAlX+ll/l3bNM1YI93cJ54Kf5JRz5wyGc8FPXvgTFuYZAWQ0+q9WERERuWwKeERERMoQV04Wtj0J2Pbuwrb/d+wH9uI4fgRcTn+XJgUwhob5u4SCud3npnydSj533mDwhDwVI6FiRYiM9ARAWt9HRETKoB07dvDss8/Sv39/unfvXmTb9evX89e//pWwsHNfuw8ePIjdbr/gcyIiIoiJibnieq+UAh4REZFSyu10Yj+0D9uendj27MC6JwHH0YOe9VikTAgorQFPYdxuyMzyHEeOec4FBniCnshIT/BTqaJnVy8REZFSzuVysXv3bnIKW8PuD6dOneLRRx/l3nvvZebMmd7z3bp14+DBgxd8zhNPPMHo0aOvtNwrpoBHRESklHCmpmDdvcMT6Py+E9veRNyWXH+XJVfAGFLB3yVcOYcTUs94jjxm87lRPhUjITJCa/qIiJQC98/e4e8SihTfu1mx9LNv3z4mT57M22+/7TPi5s8C/vjaFBQUVGR/MTExDB06lDfeeIO///3v9OrVC4Dg4GB69OjBpEmTAMjKyiIjI4MaNWp4723RogWmUvKLDwU8IiIifuB2u7Hv/x3rjs1Yd23DticB5+lT/i5LipnRHOrvEkqGxQInLXDyj//NGgwQHv5H6PNH8BNWDsItEREplSZNmsSXX37Jrl27mDdvHtHR0djt9nyjbY4d84xGTUlJYe/evT7XatasSWjoua/Tzz77LPHx8UyePJlHH32UoKAgAgN9I5MvvviCESNGcPLkSYznrVkXUEp+yaGAR0RE5Cpwu93YD+3D+tuvWH/bjHXnFlyZ6f4uS0qYMdjs7xKuDrcbMjI8x+EjnnNmE0RFQZUoiKrsGfUjIiJSDN59910MBgMLFiygc+fOLFy4EIPBQOvWrQtsP3r06HxTqJYsWUKrVq28n41GI++99x5ms9k74icvxDl58iTJycmkp6cTHBzM3r17yc3NpXnz5gAYSsladQp4RERESoj98AEsv/3qCXV2btGuVtegAFOIv0vwH4sVjh33HODZmr1KZU/oE1UZLjBcXkREpDCBgYFMmTKFChUq8MknnxAfH0+XLl0AePHFF3nppZcASExM5I477mDixIn07NkTgPnz5zNw4EDMBfziITY21udzXnCzcOFCRo8ejdFoxGaz0aFDhwJHDPmbAh4REZFiYj9+BOv2TVh/+xXLjs24zqb6uyTxM2NQ6ZiTXypkZ3uOQ0c8U7oiIs4FPpUqag0fERG5JAaDgXfeeYf27dvTpk0b0tMvbWS0wWDg1KlT3HPPPYSEhHhH6yxZsoTKlSt72wD079+f/v37M3/+fF5++eV8071KCwU8IiIil8ltt2H5bTOWTeuw/Loex4mj/i5JShljoAKeArndkJ7uOfYdAKPRE/LkTemKjNDW7CIickEGg4E2bdpc9v0VKlTgueeeIzQ0lE2bNvH555/7LMicF/AcOXKE9PR0Tp3yrD23Z88ebDYbtWvXvrIXKGYKeERERC6BI+Uklk3ryN20Huv2TbitFn+XJKWYMTDY3yWUDS7XuZ26ft8LgYGeaVwx0RBdFYL17ygiIgU7duyYz65WlyIsLIy+ffsCnvV2Pv/8c5+FlZ1OJwAzZ85k7ty5BAUFYTKZ6NChA1arlY8++ujKX6AYKeAREREpgtvpxJb4G7l/jNKxH0zyd0lSRhiCTRiNmnZ0WRwOOJXsOQwGz+iemGjPEVpOdyYTEZHL8tJLL5GVlcWsWbOKpb/zF0x2OBwYjUbeeOMN3njjjQLbv/zyy8Xy3OKggEdERORPnJnpf4zSWYdl88+4szP9XZKUQcbwSH+XUD643XDmrOdI3APhYRAT4wl7IiP8XZ2IiPjR/v37WbFiBXfffTcmk2da9Pjx4xk/frxPu8GDBzN48OCL7jczM5Pw8HAsFgvBwcHExcXx7LPP+rQJDQ3VIssiIiKlkTM9jdyfVpGzbjnW336FP4bkilwuY5jChxKRmeU5kvZ5tl7PG9lTuZJnLR8REblmjB8/HrfbzUsvvYTb7QbgiSee4MknnwQ8AdBjjz3Gyy+/TMeOHQGIj4/nrbfewuVyFdhneno6Xbt2ZcGCBWRkZBAZGendcWvz5s0EBwcze/ZsPv3006vwhpdGAY+ISBlw9OhRJk6cyJgxY3wWfpMr40w/S+6GleSsXYF152aFOlKsjBXC/F1C+WexwKHDniMoEKpW9YQ9Vat41vEREZFya+fOnSxcuJAOHTrQrFkz7wLIlStXpmHDhgDY7XYAoqOjvefq1atH9erVcTgcBfY7YMAADh8+TFJSEmfOnCE6OprgP9aCq1q1KmazmbCwsAK3Wfc3feUTESlBI0eO5LrrrqNz585UqVLF59oTTzzBkSNH+PHHHy/YT3x8PJMmTSIkJIS33noLgFGjRuF2uwkKCvJu6/hnJpOJoUOHXvmLlCPOs6nkrF9J7voVWHduBZdCHSkZxgrh/i7h2mJ3wPETnsNo9OzGFRMD1WI84Y+IiJQbLpeLF198EfCswQOeEGf//v3eMAbwjuo5X6dOnejUqVO+83ltV69ezfTp070jfK6//nrvFuwpKSkEBweTlZVVaEDkT/pqJyJSQnJzcxk3bhyBgYF06NAh3/Xk5GSOHTt2UX3169ePxYsXM2bMGNq3b89tt93GlClTvF9sClO5cmUFPIDzzGly1q8gd90KrLu2eXbsESlhASEV/F3CtcvlguQUz5GwyzOqp0Z1z8geTeMSESnzJk2axJYtW3jwwQdp1KgR4FkcOSzMd/RsXkhTUNDzZ7/++isAL774Il27dmXQoEGEhobyt7/9jWXLlgHQokULb/uKFSsWy7sUJwU8IiIl5Pvvv8dqtdK7d29iYmLyXQ8MDPTZhvFC3nrrLW644QbvF7FDhw5hNpsJCAggICDAZ8V/gAceeICNGzde2UuUYa6cbHLWryBnxVKsCVsV6shVZ1TAUzq4XHDipOcIDobq1aBmdSiF35iLiMiFnTp1ivfff5/AwMCL/kVmYevtnK9y5co88MADDB06lMOHD7Nw4UK6dOlChQoVeOihh3jooYfy3eN2u8nOzs73fbi/KOARESkheVs19urVq8DrRqOx0KlVebZv306LFi0YNGgQEyZM4K9//av3WmRkJA899BA7d+5k9+7dBd5//hDVa4Hb5cK6fSPZy5eS+9Mq3FaLv0uSa5jRrO28Sx2b7dyaPRVCPaN6atbQ1usiUm7E927m7xJKXExMDD/88AP/+c9/qF+/fpFt86ZROS9incURI0Zgs9lwu90MHjwYu93OU089VWDb/fv3ExcXR0JCAmfOnCEionRsrKCAR0SkBBw+fJjvvvsOgDp16pCUlERmZiZms9mb8GdnZ2O1Wn3CGbfbjc1mo27dulSsWJHIyEicTmehQY3FYiEzU1t42w8fIHvFEnJWLcOZmuzvckQAMAaH+LsEKUp2Duzd5zkqVYQaNaB6jGeUj4iIlGoNGjTghRdeuGA7m83m8+eFBAcHk5ycTHZ2Nj169KBZs4IDs6ioKKZOnYrNZqNVq1Y88sgjF198CVLAIyJSAiZNmuQzFPTVV1/l888/L7Bt48aN851btmwZ9957L5GRkYBnsWS73c7atWsJCQkhMDAQg8FAZmYmLpfLO2fYZrNhsVi45ZZbSuCtShdnRho5q78ne8VS7Ht3+bsckXwCgkvf7hpSiLNpniMx0bMTV43qEB0NAVqvR0SkLLvllltITr60X/5FR0ezcOFCrFZroW0iIyP56quvqFu3LtWrV7/SMouNAh4RkWJ28uRJZsyYQUxMjHe7xlmzZvHJJ594tzh//vnnmTx5MuBZQHnGjBmAZ36w3W4nICAAwGc+b3p6Ov/7v/9b4DNbtmzp8zkxMbF4X6qUcDsc5G5aR86KJeRuWg8Ou79LEimUMdjk7xLkUrnccCrZcwQFQrVqULsWVIz0d2UiInIVhYSEEBJS9EjcW2+99SpVc/EU8IiIFLPhw4fjcrkYOHAgI0aMAPD5AuFwOPjiiy+8n2fPns3IkSOpVasWRqMRk6ngHwojIiJYvHgxQUFBBAUFsXjxYqZMmUK1atWIi4sDwGq1YrFYqFWrVgm+4dXnSD5B1rKFZP/wLa60M/4uR+SiGAMV8JRpdgccOeo5IiOgTm3PyJ4/AngREZHSRgGPiEgxSklJIS4ujv79+1OjRo0C2yxbtozk5GTCw8MxGAxkZGQwevRo3nvvvSL7Dg4OpmPHjoBnobhnnnkG8Ezf+vvf/86uXbto0qRJ8b6QH7ldLiybN5AV/zWWX9drFywpc4wBQf4uQYpLegbsSIDde6BmTU/YE6Zd0kREpHTRxGIRkWJUtWpVvv32W4YPH15omzFjxlCrVi3uuusu6tWrR/v27ZkxYwZbt2696OdMnz6dpKQk7/brM2fOpHnz5qxYseKK38HfnOlnyfhyNif6PsDpV5/HsnGtwh0pcwzBJowB+j1auWN3wMFDsGYd/PIrnDwFbre/qxIREQEU8IiIFLu77rqLKlWqFHht+fLlrF+/nn/+858EBnp++Bs5ciQOh4OnnnrqorZwPHDgAMOGDaNHjx7eub//93//x/XXX0/Xrl3ZuXNn8b3MVWTduZXUsSM43ut+0j99D+ep4/4uSeSyGSO0Zku5l5oKW7bBqjWwNwkshS/GKSIicjUo4BERuUpsNhtDhgyhcuXKPPfcc97zt9xyC7169WLz5s0MHjy4yD6ysrLo0qULoaGhvPvuu97zYWFhfP3117hcLrp27UpGRkaJvUdxcuVkk7kkjpP9HyF52FPkrP5eCydLuWCsEOHvEuRqsVg8W62vWu0JfE6n+rsiERG5RmnssIjIVfL666/z22+/MWHCBMLDw32ujR8/nmXLljFlyhRiY2MZOHBgvvtzcnLo2rUrv/32G998802+UUKNGjVi4sSJ9OvXj4ULF5bou1wpx4mjZC6aR/aKJbhzc/xdjkixM4aFX7iRlC9ut2fK1slTnvV56tSGmjUgSGsxiYjI1aGAR0TkKoiLi2P06NH85S9/KTC8qVq1KvPnz+eee+5h0KBBnDhxgrfeesunzahRo/jxxx9588036dy5M+AZFWS3nxvx0rdvX6pUqUKXLl1YtGhRyb7UZbDu3kHm13PI/Xm11tWRci0gVAHPNS0rG3bthj17PSFP/esgNNTfVYmISDmngEdEpISdOnWK5557jqCgIGbPnu1de+fP7rrrLmbMmEG/fv3Ys2cPqampGAwG7/UxY8Zw3XXXMWDAAO85m82GzWbzfjYYDHTp0sXns7+5XS5yf15N5sK52BJ/83c5IleFMVQ7LAngdMLhI56t1qvFQGw9iND0PRERKRkKeERESkhe8FK1alUSEhJYt24df/vb37zXC1pQ+cknn+T666+ndevWGI1Gjhw54r0WEBDgE+4AhIaG5pvudeDAAXJzc9m9ezdms7k4X+mSuKwWsn/8D1nfzsNx/MiFbxApR4xmjdaQ87jdcOKk56gSBfXref4UEREpRgp4RERKiMViATxBTlRUlHdaVZ6MjAyf6VV52rRp4/37mTNninzG4sWL85175ZVXmDt3LgBvvPHGJdd9pZxpZ8j6z5dkxX+FKyPtqj9fpDRQwCOFOp3qOSIjPEFPtRgoBaMtRUTKiz179uBwOGjatKm/S7nqFPCIiJQQo9FIo0aNCt36PD09ndzc3CL7+Otf/4rb7b6k544cOZL27dvTunVratWqdUn3Xgn70YNkLvycnFXxuG3aLliubQGmEH+XIKVdegZs3Q4VQqHedVCzJgRog1sRkSuxcuVKunfvTocOHfj4448v+r69e/de1vPq1KmDyWS6rHtLgsF9qT85iIiInMd2MImMebPI3bDSMw1BpBQKqFoNZ8rJq/a8qj0HYY6MvmrPk3LAZILr6np23wrS72BFpGAJCQlERxf+9WXhZylXsZpL17Vn1SvuIysri+zs7AKvuVwu7rrrLnJzc1m3bh1BhexkGBERQUjIuV/GxMTEXPIvVQF++uknYmNjL7p9cnJyiY4s0lcPERG5LLb9v5PxxSxyf/qvgh2RPzEGBfu7BClrrFbY8zvs2+8JeerV9YQ+IiLiY/r06YwdO/aC7W666aZCr02bNo2HHnrI+zkoKIiOHTvywQcfXFQN8+fPZ+DAgX5d77IgCnhEROSS2PbtJuOLDz1bnSvYESmQMVA/mMtlcjhg/wE4eMizxXpsPW2xLiJynryRN6tWrbrk5Qh++eUXevbsmS+YCQwMxGq1curUqYvqJyMjAyh40xR/UsAjIiIXxZa0m/R5M7H8ssbfpYiUesZAjeCRK+RyebZXP3oMateCBvWhlP2mWETEHwx/LEwfHh5OeHg4OTk5hISEEBAQUGB7p9OJxWLBZDJRoUIFgAKnYy1ZsoQlS5ZcUi0XWk/zalPAIyIiRbLt3UX6vFlYNq71dykiZYLBZMZoLPibTJFL5nbD4SOeoKduHc+InmAFiCJy7To/VDl69Cg333zzRd0XFxdHdHQ09957L5UrV/a55nK56Ny5M+PHj89335QpU5g6dSqbN28mIiLC51p4ePhlvEHJUcAjIiIFsu7ZSca8WVh+Xe/vUkTKFGN4xIUbiVwqlwsOHIQjR+C66zw7b2kxZhG5Bg0ZMoQhQ4YA4HA42LRpE2azmRMnTtC3b1/S0tL48MMPadasGXBuBE/FihWJiIhgzpw5+fp0uVwEBgYSGRmZ71reLlkREREFXi9N9FVBRER82A4mkT77PSyb1vm7FJEyyRimgEdKkMMJSfvg0GGoXw+uqwOFTEsQESnvAgMDiYmJ4cMPP2TixIlkZWUxbdo02rZt69MuIyODzp078+STT9KzZ898/djtdg4cOMDs2bPzXdu+fTsAX3zxhc/aPXa7HZvNRmRkZIF9+oMCHhERAcCRcpL0udPJWRXv+U2xiFwWYwUFPHIV2O2eXbcOHoLY+lCnFhiN/q5KROSqcLvdbNu2jUWLFhEXF0dubi59+/Zl3bp1DB8+nEaNGnlH8Bw7dozHHnuMhIQEli5dSqdOnXymWlksFtxuNwkJCYwePTrfs/KmhE2aNMm7/o/b7cZms2G324mNjVXAIyIipYMzM53MBZ+QtTQOt83q73JEyryACmH+LkGuJVYr7Er0TN9qGOvZeeuPH0BERMqj6dOnM3XqVFJSUggLC+Oxxx7jueeeIyAggB07dpCWlkavXr1YuXIl8fHxvPbaa0RGRrJ06VJatmyZr7/09HQAHnvsMd5+++1818eOHcv48ePZuHGjpmiJiEjp5LZZyfz2CzLiPsWdnenvckTKDWNIBX+XINei3Fz4bSfsOwDXN4BqMQp6RKRcuvfee5k3bx79+/fnscceIyIigv/85z8MHz6cihUrMnHiRIYOHUrLli2xWq2EhoZy5513FhjuACQnJwNQs2bNq/kaJUIBj4jINcbtcpG9/D9kfD4T5+lT/i5HpNwxmhXwiB9lZ8PW7RARDtc3hOiq/q5IRKRYXXfddaxZswaANWvWMGHCBDZt2sTTTz/Nyy+/zJo1awgMDCQjI4Off/6Zb775hunTpzNq1CjCwvKPsk1KSgKgYcOGOBwODhw44HP9zJkzAOzfvz/f/XXq1PEuwlwaKOAREbmG5P6yhrRP38NxaL+/SxEpt4whof4uQQQyMuHXLVAlCprcAAX8UCMiUhbt37+fxYsX8+WXX5KUlETr1q1ZsWIF119/PRMnTmTSpEm0atWKDRs2ANCtWzfeffddxo0bx2uvvZavv7xFlP/yl7+QmppK69atC3xuu3bt8p1bs2YNN9xwQzG+3ZVRwCMicg2w7t5J+idTsO7c4u9SRMq9gGDzhRuJXC2nU2HtBqhbGxo2gKAgf1ckInJFtm7dyjvvvMNNN93EvHnz+Mc//sH27du57777OH78uHe3q44dO3L06FFuv/12+vbty/vvv09UVBTPPfecd7FkgFWrVnHddddRrVo10tLSAJgyZQrdu3cvtIb58+czcOBAgoODS/x9L4WW2hcRKcecZ06TOn4kyUN6K9wRuUqMCniktHG74eBhWL0WDh/xfBYRKaMefPBBNm3axLJly6hRowbPPPMM7dq1o379+qxatYo77rjDG+BkZ2cDMGzYMG666SbefPNNunfvzu+//w7Azz//TGJiond0zqUGNqUt4NEIHhGRcshtt5P57Twy5n+EOzfH3+WIXFOMQQp4pJSy2WHnLjh0xDNtK6qyvysSkWLWtWf5X3crKyuLn3/+mYEDB7JhwwYaN25MXFwcbdq0ATxbmH/77bcAVKlSBQCz2cyCBQvo06cPq1at4pFHHiE+Pp7hw4cDntAIwOVyATBw4EAGDhx4wVrcpSwwV8AjIlLO5P66nrSZE3AcO+zvUkSuScag0rPYokiBMjPhl02enbYaN4KQEH9XJCJy0YYMGcI333xDnTp1mDp1Kg8//DBGo5GzZ8/yyCOPcOjQIc6ePUvbtm25+eabvfdFRkby5ZdfMnnyZNq1a4fRaCQ3N5fmzZvTvHlzAGw2GwAjRozg/vvvL7SG+Ph43nrrLW/70kIBj4hIOeE4cZSzMydg2bjW36WIXNOMAVrjRMqIk6cgOQXqXwex9SEgwN8ViYhc0IQJE7jzzjt58MEHCTpvXbFKlSpRqVIlAgMD6dGjB4888ojPWjsAgYGBDBkyxPt53rx5HD587peidrsdgJiYGBo2bFhoDTExMQClLuAxuEvbmCIREbkkLksuGQs+JvObz8Feur7IiJQWAVWr4Uw5WeLPMZjM1Oo7ssSfI1LszGZo1BBq1vB3JSJShISEBKKjo/1dRrnlcrk4e/YsYWFhJbL9eXJyMk2bNi32fvNoBI+ISBmW/d/vSP9kKs7Tp/xdiogAxvBIf5cgcnksFti+w7MIc5PGEBnh74pERK46o9FIVFSUv8u4bAp4RETKINuBvaRNH6edsURKGWOYfiiWMu5sGqz/CWrVhBuuh1K2Q4yIiBROAY+ISBnisuSS/tl0sr6dDy6nv8sRkT8xVgj3dwkixePoMc/6PI0badqWiEgZoYBHRKSMyN24lrPTxlyVdURE5PIEVAjzdwkixcdm80zbOn4Cbmyi3bZEREo5BTwiIqWc88xpzk4fR+76Ff4uRUQuwBiigEfKoZTTsGY9XN8QrqsDf9qVRkRESgcFPCIipZTb7SY7/mvSPn0Pd3aWv8sRkYtgDKng7xJESobTCYm74cQJaNYUwjUdUUSktFHAIyJSCtmPHuTMlDexJWzzdykicgmMJk1hkXIuLR3W/QSx9SA2FgKM/q5IRET+oIBHRKQUcTsdZMZ9Svr8j8Bu83c5InKJAswKeOQa4HZD0n44ccozmqdyJX9XJCIiKOARESk1bHsTOTP5DewHfvd3KSJymYxBZn+XIHL1ZGfDzxuhTm1odD0E6UcLEfG/PXv24HA4aNq06RX1s3XrVtLT02nbtm3xFHYVaEyliIifue020j6ezKnBvRXuiJRxCnjkmnT4CKxdB6eS/V2JiFzjVq5cSZs2bZgwYcIV9zV69GiefvrpYqjq6lHMLiLiR7Z9u0mdMArHof3+LkVEioExKMjfJYj4h8UKm7dCtRho2hhMJn9XJHJNKo5goyQNGTLkivvIysoiOzu7wGuNGzcmKiqKlStXcvToUYIK+bocERFBSEjR06pNJhPBwcFXXO/VpIBHRMQP3E4nGXGfkPHFh+Bw+LscESkmAQFl6xtBkWJ38hSkpsKNTaF6NX9XIyLl0PTp0xk7duwF2910002FXps2bRoPPfRQkfcHBARgNJatSU8KeERErjL7scOcmfgKtt07/F2KiBQjgzkEgzHA32WI+J/dAVu3Q3KKZzRPoH7kEJHikzfyZtWqVdSqVeuS7v3ll1/o2bMnZvO5KdU1atTAUcQvXKOjows8/9///pcmTZpc0vNLmv7fVkTkKnG73WQtjSP94ym4rRZ/lyMixcwYHunvEkRKl2PH4cxZaN4MKmmnLREpHgaDAYDw8HDCw8PJyckhJCSEgICCf8nidDqxWCyYTCYqVKgAeL4vzxMcHEyDBg346KOPfO4bMWIECQkJLFq0yOf8l19+yeTJkzGVwqmoCnhERK4Cx+lkzk5+HcuWn/1dioiUEGOFcH+XIFL65ObCz5sgth40iIUyNt1BREqf3Nxc79+PHj3KzTfffFH3xcXFER0dzb333kvlypW95wMDAzGZTDRs2NCnfVhYGIGBgfnOV6lSBaDQQMmfFPCIiJSw7FXLOPvBWNzZmf4uRURKUECYAh6RArndkLQfUlI9o3n++A26iMjlGDJkiHexZofDwaZNmzCbzZw4cYK+ffuSlpbGhx9+SLNmzYBzI3gqVqxIREQEc+bM8envctfZKY3r8yjgEREpIc6MNM6+P5rcdcv9XYqIXAXGUAU8IkVKT4d1P0GTG6D2pa2bISJSkMDAQGJiYvjwww+ZOHEiWVlZTJs2jbZt2/q0y8jIoHPnzjz55JP07NnT55rBYGD79u2FsodBlwAAIABJREFUrrVT2PnSSAGPiEgJsGz5mdRJr+I6c9rfpYjIVWIM1agEkQtyOmFHgmcB5mZNoYxtQSwi/8/efUdHWebvH3/PTDIppCAJAUNHRBCxAGIFrCAqqGDBtSKo6A9ZFQsWQBTBBQUEC0UWpai0BQUC+6WoIEqRTjAEpCeB9J5Mpv3+iM4SEyAJSZ5Jcr3OycF5yv1c954lzHzmLt7B7Xazc+dOli5dysKFC8nLy2PgwIH8/PPPvPnmm1xyySWeETxxcXE89thjREdHs2LFCnr37k1ISIinLZPJRJs2bcq8Bo83UoFHRKQCuZ0OMuZMJWvRV4VD0kWk1jD7BxodQaT6OJUI6Rlw+WVQP9zoNCJSjUydOpUpU6aQlJREUFAQjz32GC+88AIWi4U9e/aQnp7O448/zrp164iKimLUqFGEhoayYsUKrr766mLtud3ucq3B4428b9KYiEg15Ug6SeKwZ8la+KWKOyK1kAo8ImVks8HWbRD9e+HIHhGRUrjjjjsICwtj5MiR7Ny5k1GjRvHrr7/StWtX4uLimDBhAidPnuTqq69m2LBhmEwmbr755hKLO1B0R62ycHrh7y2N4BERqQB5m9eTOnEUrqwMo6OIiEEs1gCjI4hUT0ePQUpq4QLMp02bEBEpSfPmzVm/fj0A69ev56OPPmLr1q08++yzDBs2jPXr1+Pj40NmZiabNm1iyZIlTJ06lREjRhAUFFSsPbfbjc1m48CBA0WOZ2dn43A4ih1PTi5cgkEFHhGRGsZtt5M+azLZ331jdBQRMZjZz9/oCCLVV3Y2/LIZ2rSG5s2MTiMiXuzQoUN8//33LFiwgIMHD3LDDTewdu1aWrduzYQJE5g4cSKdO3fml19+AeDBBx9k0qRJjB8/nlGjRhVrz+VyERMTww033FDi88503GazVVynKogKPCIi5eRIOEHKuDcpiN1ndBQR8QJmHz+jI4hUby4X7IuBtPTCBZh99FFFRIrbsWMHY8eOpUOHDnz99dfcdttt7Nq1i549exIfH88333yDv78/vXr14sSJE3Tt2pWBAwfy6aefEhYWxgsvvIDJZPK0V1BQwBVXXMHq1auLPOepp55i27Zt7Nq1q6q7WG5ag0dEpBxyN6zh5JBHVNwREQ8VeEQqSMLJwtE82TlGJxERL9S3b1+2bt3KypUriYyMZNCgQfTo0YOWLVvyww8/0K1bN08BJyen8PfI66+/TocOHRg9ejT9+vUjNjbW096iRYuYOHFiubKMHDmShQsXUlBQcP4dqwAqi4uIlIG7wEba9I/IWfkfo6OIiJex+Gq7Z5EKk50Nv/wK7S+DCxsanUak2hg6dKjRESpddnY2mzZtYsiQIfzyyy+0bduWhQsX0qVLF6BwTZ3vvvsO+N+OV/7+/syfP5/+/fvzww8/8NBDD7F27Vrq1avHNddcU+JzTCYT2dnZuFwuzOaSx8Z8//33zJ49m969e1dCT8tOBR4RkVKyxx0lZewb2A/HnvtiEalVTP6BmEwaGC1SoRxO2LEL0tPhktZwhg9YAg6Hg/z8/BIXkBWpaYYOHcqSJUto2rQpU6ZM4YEHHsBsNpOWlsZDDz3E0aNHSUtL46abbqJTp06e+0JDQ1mwYAEff/wxPXr0oF69emd9TrNmzcjKyuKZZ57h+uuvL1Lkcblc7Nq1i7i4OB5++GH8/LxjFK/JXd49wUREapG8TT+R8tEI3LkaLi5SHVnqN8SZdLJS24988IVKa1+k1qt3AVx1BXjJhyhvM2bMGGbMmMH06dO5/fbb2bp1Kz4+Pvj4+GA2m7FYLMXucblcuFwuHA4HFouF9u3be851796dxo0b8+mnnxIQUHyHwIEDB9K+fXsGDRrkNR9sa4vo6GgiIiKMjmGo7Oxsli9fTt++ffH19S1y7qGHHiIrK4tHHnmEhx56CJ/zWMvr1KlTDB48mH379pW4Y5bFYqFNmzZMnjyZRo0alarNxMRE2rVrV+5M56ICj4jIWbjdbjLnTSfz2y9Avy5Fqq3KLvD4tmhNwzufqLT2RQTws8JVVxYWe6SI999/n3fffZeCggLefvttJk6c6Fl7pDTatWvH3r17AYiLi6Nx48Y8+uijzJkzp9i1CQkJREZG0rVrV3766acK64OUjgo81VtlF3g0RUtE5AxcOdmkfDic/C0bjI4iIl7OUifY6AgiNZ+tADZvLZyu1bK50Wm8yltvvUXPnj25//776dKlC3feeSc+Pj74+vpiNpsZMGAA4eHhjB8/nkmTJrFy5UpWrVrlGcFz+tSTqKgoAAYNGlTis7Zt2wbAo48+WvkdE5EyUYFHRKQE9mOHSR49FEfcMaOjiEg1YK6jdS9EqoTbDTH7C9flufwybaV+mg4dOhAdHV3ilKo6deoQGhrKZZddRnh4OL6+vkWmZJ1u/vz5REZGEhYWRkxMjOe4j48PrVq1Yt26dQC0bNmyyPm/BAYG0rRp0wrqlYiUhX4jioj8Te6vP5L60UjceVpvR0RKxxxQx+gIIrXLyVOQlQ0droTg2l1gLSgoIDExkcaNG3uKO7m5uRw79r8vqXJzc8nKyiImJobU1FTsdnuR4kyzZs0ICAhg3759rF27FoC2bdsWeU7v3r357rvvWL16NQC33XZbiXleeeUVxo8fX6F9FJHS0VL0IiJ/crvdZMyZSsr7r6q4IyJlogKPiAFycuCXTRCfYHQSQw0aNIhLLrmEUaNGkZubC8D27dtp27at52fr1q1ERUXRtm1bZsyYQXx8fJHzu3fvBmDUqFHUrVuX9PR03G43brebefPmATBgwAD27dvH3r17mThxouf8Xz+vvfYaoKlbIkZSgUdEhML1dpJHvaTFlEWkXCx+gUZHEKmdnE7YuRt+319r//3u3bs3ERERvPPOO7Ru3ZqDBw9itVoB2LBhA263m44dOzJw4EDcbjevv/46zZo1w+1288MPPwBgtVr57bffWLhwIS+99BKhoaGe9mfOnEl4eDg9e/Zk9uzZmM1mHnjggWI5Vq1aRaNGjbjiiiuqpuMiUoymaIlIrWc/dojk917BEa/1dkSkfMx+xde8EJEqdPgI5ObClZdDCVuC12T33nsv3bt359VXXyU/P59WrVqxfft2z3mXy8WRI0e46667ztiGj48PTZs25ZlnnuGll15i2LBhHD9+nLlz5/Lcc8+RlZVFWloan332GbfccguNGjXi+uuvJzc3l7Vr1xIaGkqXLl1o0KBBVXRZRM5ABR4RqdXyfv2RlI9G4M7LNTqKiFRjZquf0RFE5FQi/LoFOl0F/v5Gp6lSgYGBfPrppzidToAiu2KtXLmSlJQUrr32WqCwmJOamkpKSornGovFQlhYGFOnTgVg/fr1xMfHYzKZuP/++wFYtmwZAQEBnt21UlJSOHXqFGFhYQB88sknld9RETkrFXhEpNbK/M9cMmZNBpfL6CgiUs2ZfVXgEfEKmZmF6/J06gAhIUanqVLZ2dlYrVYsFounwJOVlcXzzz9Pw4YNueWWWwC49dZbGT9+POHh4Z57Ty8IAfj6+hIcHFzkWK9evThx4gSWP0dIJScnY7PZKrNLIlJGWoNHRGodt9NJ6qcfkDFzkoo7IlIhLD4q8Ih4jXxb4UieU4lGJ6lSX375JZ07d2bfvn2YTCYAbDYb3bt3Z9y4cfj5Ff6euvnmmzl16hQxMTF89dVXJbZlMpk8hZzT+fr6YjabSUxMJDU1lfz8fI4ePVp5nRKRMlGBR0RqFVduDsnvvkRO1CKjo4hIDWL28TU6goiczumEbTsK1+apJebMmcPu3bvJzs72FHjCw8OZMWMGjz32WJFr69atyyWXXELTpk3L9axVq1Z5/nvZsmXlDy1SwXJycnDX0gXXQQUeEalFHEknSXxtIPm//WJ0FBGpQUz+gZhMtWtRV5Fq4/f9sHdfjR+xu3HjRrZs2UKfPn3o3Lmz5wNuly5dMJlMZ/y5+eabS9X+hg0biryOiorCz8+Pdu3a8dFHH5GTk1PhfRIpq0OHDtGtWze++eabct0/dOhQ3njjDbKysoqde+WVV7j88svPN2Kl0xo8IlIrFByMIWnUi7hSk42OIiI1jDm4dq3zIVLtHDteuMPWVVeAb80cbTdq1ChMJhMjRowA8BR4XnnlFS666KIz3hcbG8vEiRPPOOLBbrfz7LPPsmzZMk6ePInFYuH3339n0aJF/L//9//o3bs3t912G6+++iqfffZZxXdMyuyC318xOsJZpbX9sNLabtasGaGhobz77rv07NmTCy64oNT3ut1uoqKiuPDCCwkKCip23mq14uPj/eUT708oInKe8jb9RMr4t3Hn5xkdRURqIHNwqNERRORcklPg183QqSMEBhidpkItXryY1atXc9ddd3lGGLj+HLF0zz33cOONN57x3h9//JGJEyd6rv+Lw+EgMzOTW265ha1btzJ16lQsFgtZWVk8+OCDREZG8s4773DBBRcwYMAAPv/8c1q2bMkrr3h3cUFqNovFwpgxY+jVqxdjx45l3Lhxpb53y5YtpKSkMHz4cM8Ux7+3XdK6VN5GBR4RqdGyln5NuhZTFpFKZKkTfO6LRMR42TmFO2x1vAouqGt0mgqRkpLi2bb89ddf9xz/a7v0Ll26lKqdv66HwuJObGwsSUlJ5Obm8tNPP3HNNddw6tQpevXqRWxsLGvWrPGMjpgyZQp79uzh1VdfJT4+njFjxuBfy7apl6qVlZWF1Wr1LPp9umuuuYYBAwZw7bXXlnivy+WioKAAh8NRZKTO3LlzCQgIoHfv3uTk5ODv71+koPPXtMa/s9vtuFwuzyLmRlOBR0RqJLfTSfr0D8levtDoKCJSw5kD6xgdQURKq6AANm+Fyy+DyAuNTnPewsLCGDx4MFFRUUWKOQ6HA4B58+bRoUOHM96/ZcsWnnjiCc/1AJmZmQC0bNmSNWvW0KJFCxYtWsSQIUNISkpiwYIFRZ4VEBDAqlWruPvuu5k4cSIrVqzgl19+ISwsrKK7KwLATTfdxPHjx896zcyZM3n66afPeL558+Zs2bIFgIyMDJYtW0a7du0ICgqia9euxMTElHhfREREsWMvvfQSb7zxRhl6UHlU4BGRGseVn0fK2GHk/7bR6CgiUguYA4rP1RcRL+Zywc7dhevytDrz+jTVxciRI+nfv3+RYwUFBQA0bdqUNm3anPHekydPFrkeoF69eixevJjGjRvTokULABITE7Hb7axYsYLu3bsXa+eCCy5g7dq1vPjii/Tp00fFHalU/fv3x2w24+fnx8mTJ/n444/p0aMHV111VbFr4+PjmT17NrfffjtXXnklbrcbu91eZPTOzJkzyc3N9YwGmjZtGgA+Pj4kJydzzz33EBERgd1uJyMjg/fff5+uXbvidrtxOBzUres9IwJN7tq8h5iI1DjOrAyS33mRgpg9RkcRES9iqd8QZ9LJSmk7pOcDhLa8slLaFpFK1rwptG0DJUy9kKJycnKoU0cjFo0WHR1d4iiSv9S2RZYLCgpo3bo1/fr144MPPih2ft68ebz00kssXbqU66+/vtj59PR0Onfu7Plz+fLlRc7PmTOHoUOH0qdPH7Zv305YWBgXX3wxkydPLlfexMRE2rVrV657S0PbpItIjeFITiTxtadV3BGRKmXx1wcekWrryDHYvVdr9ZWCijvijaxWKzfeeCObNm0q8fzGjRuxWq0lju4BeO+99ygoKKBr164lnl+6dClt27alQYMGAHTv3p2VK1eSnZ1dMR2oYCrwiEiNYI87RuKrA3AcO2R0FBGpZcxWLSYqUq3FxcP2nXDaQsMiUn307duXffv2sXfv3iLHc3JyiIqK4o477iAgoPjueYmJiSxbtoyXXnqJ+vXrFzv/66+/smHDBgYOHOg59vjjj+NwOJg0aVLFd6QCqMAjItVewR8xJL42EGdigtFRRKQWMlu9Y+cMETkPiUmwdRucttiwiFQPd911F+Hh4cyYMaPI8W+++Ybc3FweffTREu+LiIjg22+/5fnnny92zuFwMGrUKBo0aMCDDz7oOR4WFsaAAQOYNm1asYKSN1CBR0Sqtfw920gc9iyu9FSjo4hILWX21QgekRohNa1wh63TFhwWEe9ntVoZPHgw8+fPZ+fOnQBkZ2czceJEOnbsSLdu3c54b4cOHfD19S12/I033mD79u2MGzeu2BboL7/8Mi1btqRfv34cOXKkQvtyvlTgEZFqK+/XH0keMQR3bo7RUUSkFrP4WI2OICIVJSMTNm2BvHyjk4hIGTz99NO0aNGC5557jvT0dIYPH05ycjKjRo3CVIZF1N1uN//617/46quv6N+/Pz179ix2TWBgIDNnziQvL4+7776bVatWVWRXzosKPCJSLeWsXkbymNdxF9iMjiIitZzZp/g3fyJSjWXnwKbNkKMvkESqC19fX6ZPn05CQgI9e/Zk3rx5PPfcc3Tu3LnUbTidTp566ik++ugj7rjjDp5++ml27txJdHQ06enpOBwODhw4QExMDC6Xi8WLF+NyuXj77bc5depUJfau9HyMDiAiUlaZi+eQMWsyuN1GRxGRWs4UEIjJZDE6hohUtLx8+HULdO4IISFGpxGRUrjsssvo3r07S5cuxWKxlDj65mwsFgtPPfUUISEhfPTRR7zzzjtMnz69yDU33HADAB07dmTlypUsW7YMk8nk2WXLaBrBIyLVSvqsKWT8+2MVd0TEK5iDQ42OICKVpaAANm0tXJtHRLxafHw8/fr1Y+nSpfTt25emTZty3333MXbsWNLSSv93uEuXLnz88cf4+Pjw5ptvcujQIY4fP86zzz5L8+bNOXXqFPHx8SxevBiAiy66iJYtW1ZWt8pMI3hEpFpwu92kTx1H9vKFRkcREfEwB+mbfZEazeEo3F3rqisgovg2yiLeJq3th0ZHqFJ79+7liy++YNGiRQQFBTF16lT69OlDdnY27777LpMmTWLatGn07duX3r17c91112G1Fl87z+124/7bF8iBgYFFzrtcLkwmEz4+Pvj4eGcpxTtTiYicxu12k/bZB+RELTY6iohIEZY6wUZHEJHK5nTCth1wRXuIvNDoNCK1XlRUFBs3bmT16tUcOXKEgIAAnnzySV555RXq1q0LQFBQEOPGjeOxxx5j/PjxzJs3jzlz5hAYGMhVV13FzTffzJAhQzxtOp1OnE7nGZ9pt9ux2+2V3rfzpQKPiHg1t9tN2idjyFm1xOgoIiLFmAODjI4gIlXB7YaduwtH9DRtYnQakVrNYrEwY8YMWrVqxbBhw3jiiScICwsr8dr27dsze/Zs4uPjWbJkCcuXL+e3335j9OjRRa7z8fEpth366QoKCrDZvH9zF5P77+OQRES8hNvtJm3K++T8d6nRUUSkmrPUb4gz6WSFtxt0811ccOn1Fd6uiHixdm2hWVOjU0gtFR0dTUREhNExDHfw4EFatWpVrntzc3OLTL+qSomJibRr167S2tcIHhHxSm6Xi7TJ75GzepnRUUREzsjsb8wbRBExUPTvgAmaaSSPiFHKW9wBDCvuVAUVeETE67hdLlInvUvu2uVGRxEROSuLX819kygiZxG9D0xoupaIeBUVeETEq7hdLlInvkPuuiijo4iInJPZL8DoCCJilL37Cv9UkUdEvIQKPCLiNdxOJ6kTRpL74yqjo4iIlIrZ6m90BBExkoo8IuJFVOAREa/gdjpJ/XA4uev/z+goIiKlZvY9844bIlJLqMgjIl7CbHQAERG300nK+LdV3BGRasfiYzU6goh4g7374Hic0SlEpJZTgUdEDOV2u0mdNIq8DauNjiIiUmZmiwo8IvKnPXshPsHoFCJSi6nAIyKGSv98nBZUFpFqyRRYB5NZb6VE5DS79sDJU0anEJFaSmvwiIhh0r/8hOwVC42OISJSLuagEKMjiIi3cbthxy7ocCU0iDA6jUiNl5eXx/z588t0T3h4OHfffTcAOTk5zJo1Cz8/PywWC+bTvrhxu904nU4KCgro0aMHK1asIDc3Fx8fnyLXAQwePBir1fhRvSrwiIghMhd8SdbCL42OISJSbhYVeESkJH8VeTpeBfXDjU4jUqPl5OTw2muvlemejh07FinwjB07loCAAMxmM+np6dStW5fc3FxMJhP+/v4UFBTQokULVq5cyalTpzwFHpPJRFpaGqmpqbzwwguV0b0yU4FHRKpc1vKFZHz1idExRETOi7lOsNERRMRbuVywfSd06gBh9YxOI7XI3J39jI5wVo9e+W2FtmexWAB46KGHmDJlyjmvj4iI8Nzz1+u4uMIF0rOzs2nZsiVr1qxh9OjRhISE8OGHH3qu7dmzZ7H2xo0bx4cffoivr+/5dqVCaOK4iFSpnHVRpE8dZ3QMEZHzpgKPiJyV0wm/bYf0dKOTiNRYPj5lH7NyeoGnIlR0e+dDBR4RqTK5v/5I6qRRhUOXRUSqOXNAoNERRMTb/VXkyc4xOolIjVSe4srfi0KDBg0iIiKCli1bAtCpUyeWLl3K7NmziYiIICIigt9++61C8lY2FXhEpErk79hMyr/eLHyjIyJSA1j86xgdQUSqgwI7bN0GNpvRSURqnL8vdlwaJpOpyGs/Pz+uuuoq/vvf/wKwZMkSbrvtNp544gnPtC9vWEC5NFTgEZFKZ9u3i+TRr4C9wOgoIiIVxuyvETwiUkp5eYVFHofD6CQiNcrfizXlucfHx4eAgAAaNmwIQOvWrQkKCqJevXo0btwYOPtIIafTidtLZihokWURqVQFh2JJeudF3Pl5RkcREalQZr8AoyOISHWSmQXbdsLVHaAcow5EpLi/ijXz588v9Xbpfy/w/PX6+PHjAISGhha7x2KxsGjRIp5//vkS27TZbPj7+5c6d2VRgUdEKo3jVDxJw1/AnZNldBQRkQpn9vUzOoKIVDcpKbB7L1zRHsox8kBEivqrONOzZ0/efvvtc15/ww03FCvw/DXNa9u2bTRs2NAzHSslJaXINQEBhV/sLF26lPr16xdpw1umcKnAIyKVwpWVSdKIIbjSU859sYhINaQCj4iUS3wC+PlB20uMTiJS7f1VrAkJCeHiiy8udxt2u525c+dyzTXXABAZGclnn33G8uXLPdf8tRV68+bNiYyMrID0FU9jA0WkwrntBSS/NxTHiSNGRxERqTQWH+/4tk5EqqHDRwp/ROS8VMTaNyaTiVOnTtGwYUMeeughAN58803mzp3LM888c97tVyWN4BGRCuV2u0mZMBJb9A6jo4iIVCqzRQUeETkPv+8vHMkTeaHRSUSqrfIUeP5+j9vtpnHjxixevNhzzGq10r17d+rUqV47ZqrAIyIVKmPWZPLWrzY6hohIpTIF1sGkRVJF5Hzt3gNWK4SHGZ1EpFoqT4HH5XIVa+OXX34hIiKiomIZRgUeEakwWcsXkrV4jtExREQqnTm4+A4bIiJl5nLD9p1w7dUQEmJ0GpFqp6JG8HTq1IlZs2YVu3br1q089dRTxYpCp8vKyiI4OLjMOSqDCjwiUiHyNv1E+rQPjY4hIlIlLEH6ICYiFcThgK3b4bprIDDA6DQi1cpfhZeybJNe0ggei8VS4nSsv3bOOluB5+uvv+bHH39k3LhxNGnSpLTRK4UKPCJy3mz795Iy7i1wOY2OIiJSJcx1vOObOhGpIWw22LoNrutcOGVLRErF6Sz8/FGWbdL/uuf0NjZv3kzLli3P+RwoPgLo5MmTrFu3zlMMMpIKPCJyXhwJJ0h+92Xctnyjo4iIVBlzYPVadFFEqoGcHPhtO1xzNVgsRqeRaurRK781OkKV+qvwUpZt0h0OR7HXHTt2ZObMmcWu/e233xg4cCBOp9NTwPn++++57bbbAMjPz2fVqlV06NCB8PDw8+lKhVCBR0TKzZmZTtLIIbjSU42OIiJSpcwBQUZHEJGaKD0Ddu+Fq64wOolItWC328t8z99H8Njtdvz8/IiMjCx2bVhY4QLoBQUFXHXVVTRt2pSRI0cycuRIzzX+/v4MHz68zDkqg8ldERvHi0it47bbSXzrOQqidxodRUTknCz1G+JMOllh7YXe+SAhLfQBTEQqSeuLodWZp4tI7RUdHV0jdnuqrlwuF+np6UWmaYWGhuLjU7qxM4mJibRr166y4mkEj4iUT9qnY1XcEZFay+wXaHQEEanJYg9AcBA00Ad5EW9iNpupV6+e0THOyGx0ABGpfrK+/5ac1d8bHUNExDBmq7/REUSkptu1G7KyjU4hItWICjwiUib5O7eQ/sVEo2OIiBjK7KcCj4hUMocTtu2AcqwxIiK1kwo8IlJqjoQTpHzwBji1HbqI1G4WHz+jI4hIbZCbCzt2gZZNFZFSUIFHRErFlZtD0nsv48rKMDqKiIjhzCrwiEhVSU6B32OMTiEi1YAKPCJyTm63m5QPh+M4esjoKCIiXsHs42t0BBGpTY4cg+NxRqcQES+nAo+InFPm3Knkb15vdAwREa9gCgzCZNJbKBGpYtHRkJZmdAoR8WJ6dyIiZ5W7YQ2Z3840OoaIiNewBIcaHUFEaiOXG7bthLx8o5OIiJdSgUdEzqjgj/2kTnzH6BgiIl7FHBRsdAQRqa0KCgp31tKGFyJSAhV4RKREzow0kt8bitumb4lERE5nrqMCj4gYKDMTdu81OoWI13K73fz+++8cPXq0QtqLiYlhzpw5uFyuCmmvMqnAIyLFuJ1OUsYOw5l00ugoIiJexxwYdNbzx5OScGtLYxGpTAkn4Q9tfiFSEpPJxO23384///nPCmnvgw8+YOjQoURHR1dIe5XJx+gAIuJ9MuZOxbZnm9ExRETKZc7RJN6KPsaxOzuW636n2830Q6f4+ngyJ/Js+JhM3BgewruXNqFJoB/mgCAycnJ46IMxbN6/n+EPP8zL9/UtvNfp5NlPJrN85ChMJlNFdktEpKj9ByA4GCLqG51EvEj9rduNjnBWSVd3qJLnhIaG4usTBINyAAAgAElEQVRbth0vc3Jy8PHxwc/Pr8jx7t27ExUVxS+//EL79u2LnLPZbNhsNoKCgjCbjR8/Y3wCEfEqeb9tJGvhl0bHEBEpl2UJqQyPPnZebbz3+wnG7o+jdZA/oy5twiNN6/NjUgb9NseS53RhCQhk1ur/Y/eRwzx311289u+ZpGRmArBo48/0uf56r3iTJyK1wK49kK/p9CJ/Z7Vayzya9qmnnqJJkyZEREQU+XnxxRcBGD58eLFzTZo0oVWrVpw4caIyulFmGsEjIh6OpJOkfjQCNLVARKoZl9vNh7HxfH7oJPX9fDlls5ernf1Zecw6kshrrSMZ3OpCz/EQHwuTDiawJjGdx/0CiDlxnK6XtWfEw48wdsF8DsbHExYSwtwf1rHozbcqqlsiImdnt8OO3XDt1aBRgyIeZrOZzD+/fDldTk4OGzZs4I477ih27tlnn6Vv375YrVZMJhNHjx6lRYsWxa47deoUubm5tGjRwjOCp169epXSj7JSgUdEAHA7HKR88AauzAyjo4iIlFlMVh5fH09meoeLWHkynUVxKeVqx+l280rrSAa1bFjk+OWhgQAk2xyY/QJwOJ34Wiz4WCwAOFxO1uzYzo2XtsPP13p+nRERKYu0NIg9CJdcbHQSkSoTGxtLdnY2fn5+RUbNWiwWWrduDcCRI0dwu91FpkyPGDGCefPm8dlnn9GnT58ibd5yyy1A4SLN9913H7Gxsfz888/FijeTJ09mzJgxvP322wwePLiyulguGj8sIgCk//tjCmL2GB1DRKRcIv2trO1yKbc3qHte7VwaEsgLrS7Ex1z0m/Ad6Tl/ng/A7OtPo7Bw9h49yvq9hb83I+uFMW1lFIPuvOu8ni8iUi5/HIKkZKNTiFSZ0aNHc8cdd3DzzTfTrVs3z8/zzz/vuSY9PZ1ffvnF83r8+PHMmTOHzp07c8MNN5yxbZPJRK9evUhOTmbMmDHFzq9YsQI/Pz969+5dsZ2qACrwiAi5G9eR/d03RscQESm3ulYfwvzKtphiaaXbHcw7nkyb4AA6XRCExerHP266iWNJidz65jDuurozGTk5tGx4IaF16lBgL9/0MBGR87JrD+TbjE4hUiUGDRrEvHnzWLp0Kd9//z3z58/HbDbTqVOnItdNnDgRt9vNqFGjGD9+PE8++ST/+c9/aNCgwVnbf/LJJ2nevDlRUVFkZWV5ju/evZsdO3bQv39/mjZtWil9Ox+aoiVSyzkSTpD68btGxxAR8Vojo4+TVuDg0ytbYDGZMFusXNK4CX98MYuDCfF0bHUx/Sd+xPN39eLKwc/z+/Hj/Kv/U7x4731GRxeR2qSgAHbths6dtB6P1HjXX399kdcrVqzA5XJx0003eY41bdqU9evXc8cdd7Bz505GjBhx1ilVixcvLlLM6dq1K82bN2fx4sWeY1FRUQCEhITw5ZdfAoU7aF500UVFnm0UFXhEajF3gY3ksa/jzsk2OoqIiFeadyyJJfGpDGrZgBvCQ8BkwuxTOFKoblAQnS5uzZFTJ/Hz9WXxxp9x42bkPx7htVkzGdC9B8GBgQb3QERqlZRUOPAHtG5ldBKRKrVy5UoCAwPp2rWr59ill17KRRddxA8//MCnn37KAw88cNY2/vWvf3HkyJFSPe+DDz4o8vrxxx9XgUdEjJU27UPsf+w3OoaIiFfanJrFyH3H6RoewuuXNALAFBiEyVR0hvvEpUt46d4+vDJzBt2v6sCQ3vfw1uwviY2Lo+PFWvRURKrYwT+g3gUQHmZ0EpEqkZCQwHfffcf9999P4N++WHn11Vf58ccfiY+PP2c7Pj4+dO3alUWLFpXp+Q6HA4fDUaZ7KovW4BGppXJ+WEnOqiVGxxAR8UqxWXk8ve0PmgX68dlVLbH8Od3BEhRS5LqUzEySMjJo06QJeQUFBFj9CPTzAyDXprUwRMQgu3aDfgdJLTFhwgTsdjtPP/10sXOdOnXiiSeeYPz48WzevPms7WRnZ1O3btk3a/Dx8cHf37/M91UGFXhEaiF73DHSPim+IryIiMCB7Dwe3hKL1Wzmq6tbEeJr8ZwzBwUXufaT5d8z+O7CXTTq+PmRa7ORnZ8HQFCAd7zZE5FayFZQuOiy2210EpFKtXHjRubOnUufPn249NJLS7xmxIgRNGzYkMcff5w9e868a3BqaiqhoaGVFbVKqMAjUsu4nQ5SP3wb958fQEREaovfM3P5T1wKSbYz73JV4HLx5NaDJNkc3BN5AVtSs/lPXIrnZ9uf26UD5Obns/PQIa7/8w3l5S1asGzLJt6ZNxd/q5XWjRpXep9ERM4oOaVw+3SRGio+Pp6nn36a4OBgRo4cecbrgoKC+Oqrr3A4HPTq1YsFCxYUuyYhIYGCggJat25dmZErnQo8IrVM5rzpFMTuMzqGiEiVW3kynRd3HeFgdv4Zr9mbkcvxvAIAZhxO5MVdR4r8zNl7wHPtf7dvY2D3Hp7XL95zH43D6zN73Vqm/r8XqOMlw7VFpBY78AekphqdQqTCxcbG0rt3b1JSUpgyZco5tz1v164dixcvJiAggMGDB/Pggw+yZs0a3H+Octu4cSMAV199daVnr0wmt1vj9kRqC9u+nSS+/iy4nEZHERGpUpb6DXEmnTzvdoJu7sUFl15bAYlERKqIvx/ceD1YrUYnkQoQHR1NRETEGc/X37q9CtOUXdLVHc67jYyMDG699VaOHTvGqFGjeO6554pd07FjR9q1a8fs2bOLHD9x4gQDBw5k+/btDBo0iDfffBN/f3969+7NgQMH2L17N76+vued8UwSExNp165dpbWvXbREaglXbjYpH45QcUdE5DxYArTtuYhUM/m2wvV4ru5odBKpAhVRQPF2oaGhrFq1ihUrVvDEE0+UeE1OTg6mPzdIOF3jxo1ZsWIF3333HX369AFg2bJlbNq0iaFDh1ZqcacqqMAjUkukTR2P89S5twcUEZEzM/sHGB1BRKTskpLh2HFo2sToJCIVIjw8vFhxJycnh6FDh5KYmEhqaiqRkZEl3muxWDzFnePHjzN06FDCw8MZMGBApeeubFqDR6QWyN2whty1K4yOISJS7ZmtKvCISDX1+37IzTU6hUilqVOnDna7nejoaP7xj38wbNiwc97TsGFDbrvtNmbMmEF4eHgVpKxcGsEjUsM5khO1JbqISAUx+2rhZBGpppxO2L0XrrkaSpi6IlITfPrpp/iXYZMDX19fPvvss0pMVLU0gkekBnO73aROeAdXdqbRUUREagSL1c/oCCIi5ZeaBkeOGp1CpNKUpbhTE6nAI1KDZS2Zh23XFqNjiIjUGGYfFXhEpJrbfwCyc4xOISKVQAUekRqq4PABMmbXnOGGIiKGM5kwW6r37hoiIrhcsHsPuN1GJxGRCqYCj0gN5LYXkDr+bbAXGB1FRKTGMAUGlbjlqohItZOeAX8cNjqFiFQwFXhEaqCMr2dgP/qH0TFERGoUS3CI0RFERCrOwYOQmWV0ChGpQCrwiNQwBX/EkLV4ttExRERqHHOQCjwiUoO43IVTtVwuo5OISAVRgUekBnE7HaROerdwG0wREalQ5jrBRkcQEalYmVlwUKO+RWoKFXhEapCshV9hPxRrdAwRkRrJHBhkdAQRkYr3x+HCNXlEpNpTgUekhrAfO0zGtzONjiEiUmNZAuoYHUFEpOK5/5yq5dRULal5bDYb06ZN44cffjA6SpVQgUekBnC7XKR+/K52zRIRqURmfxV4RKSGys6BAweMTiFSJnv37iUqKqrY8YULF7Jnzx4AnE4nw4cPZ9WqVaVud8aMGYwdO5aEhATPsVWrVvHII48QG+vdsyVU4BGpAbK/+4aCmD1GxxARqdHM/gFGRxARqTyHjkBamtEpREpt5MiRPPnkkwwfPhyHwwFAbm4ugwcPZvTo0QAEBgYC4OvrW6o23W43X3zxBbNmzcJkMnmOJyUlsXr1amw2WwX3omL5GB1ARM6PI+EEGXM+NzqGiEiNZ7b6Gx1BRKRy7d4LN94AFo0DqK7yn+xpdISz8v9yZYW1NW/ePN58802mTZvGnj17WLBgATt27MDtdnPfffed8T6bzYbNZiMkpPjumFFRURw+fJiRI0fSsGFDz/EzFYgSEhIIDAwkNDT0/DtUAfQ3V6Qac7vdpE4ejduWb3QUEZEaz6ICj4jUdDm5cOiQ0SlESsXf358JEyYwbNgwevbsidVqZd26dQAMGTKEiIgIIiIiAJg+fbrndZMmTejQoUOJbU6ePJng4GCeeOKJUmV46aWX6NGjB4e85O+NRvCIVGM5q/6DbfdvRscQEakVzL5+RkcQEal8fxyGyEioE2h0EpFSefnllwFwOBwsXryYTp06MWfOHM/5tm3b8vjjj/PGG2/gdrux2WzY7fZi7cyfP58dO3bQo0cPgoLOvXPmpEmTWLduHbfddhtNmjSpuA6dBxV4RKopR/Ip0v892egYIiK1htlHBR4RqQVcLojeB507GZ1E5Ix+/fVXQkJCaNeunefYunXrSEhI4NlnnyUsLKzI9f7+/sWOnS4tLY1Ro0YBFFl750zmzZvH2LFjufHGG/n3v/9d6jV+KpumaIlUU2mffoA7N8foGCIitYPJhNniHW/eREQqXXIKJJw0OoVIiex2Oy+88ALdu3fnww8/9Cyw3L17d/bu3csjjzxSpvbcbjf//Oc/ycjIOGsR6C/Tpk3j5Zdf5vrrr2fOnDn4+3vPFG4VeESqobxNP5G/ZYPRMUREag1znaBSfaMnIlJj7IuBPz84i3gTX19fvv76a7p06cK4cePo0aMH2dnZHD16FJfLhd1uJyUlxfMDkJ+f73mdlJREXFwcJ06cAGDEiBGsWrWKt956i8aNG5/12ZMnT2b48OHceuutzJs3jzp16lR6f8tCU7REqhmXLZ+06R8ZHUNEpFYxB3vH7hgiIlXGZoPYA3BpW6OTiBTTunVrvv32W/79739z4sQJgoKCuPjii3E6nSVeP3v2bGbPnl3kWJs2bVi7di0nTpzgnnvu4fnnn2fJkiVnfe53333Hk08+yZgxY/Dx8b5yivclEpGzylowC+epeKNjiMjfxOcVcKG/r0Z51FDmoOJbqYqI1HhHj0OjRhCq34HinZ566inPf+/fvx9/f38sFgvjx49nwoQJHD9+HD8/P+69914iIiKYPn06LpeL/Px8nE4nvr6+zJw5k4KCgjM+Y9u2bXz44YdA4WifwYMHV3q/yktTtESqEXvcMTIXzzn3hSI1yJyjSTSN2lbsuNPtZvLBBG7+aS8Xr9pOx7W7GLjtIL9n5p73M9+POcH1P+wpdjzT7uSxLQe47P92MuPQqSJZ3th7FPd5P1m8lTnw3LtpiIjUOG437N1X+KeIF0pLSyMhIQGAkJAQrFYrFouFtLQ0QkJC8PMrvkGC2WwmMDCQ4OBgz+uS1tHJzMxk+PDh3H333SQmJgLQrVu3SuzN+VOBR6QaSZ86Huxnri6L1DTLElIZHn2sxHOj9h1nysEEbmtQl/faNeWRJvXZlZ5Ln1/3cyQnv9zPnH7oFNNOK96cbsGJZH7PyuOxZvUZs/8EaQWFaxOsSEjjjoYXYNbonRpLBR4RqbUyMuDYCaNTiJQoKiqKbt26ER0dXeR4QkICjRo1Kne7K1asoHPnzkybNo2HH36Yd9555zyTVg0VeESqidyNa8nf/qvRMUSqhMvtZtz+OIbsPEx9v+I7F+U6nMw9lsTTLRrwVpvG9GsSzsutI/mi40XkOF0sjU8t8zPznS5e2X2E8bFxhFlLnsH8R3Y+19QL4p+tLsTphiO5NgCWxKfSJ7JemZ8p1Ycl0LsWURQRqVL7YwvX5BHxMqtWraKgoIAmTZoUOb57925at25d7nY7d+5Mu3btWLx4MRMmTCAwMPB8o1YJFXhEqgFXfh7pMyYYHUOkysRk5fH18WSmd7iILuHF5/3nOF043FDHx1LkuL+l8J81X3PZ/3lbn5zJLylZzL+mNRcHlbzdpdPtxsdkwufPkToOl5sNyZlcfUEQfhb9k1qTmf1V4BGRWszhgN/3G51CpIjU1FTWrVtHz549CQn53/vF/fv3Ex8fzxVXXFHutuvXr8/ixYvp0qXLOa9dtWoVSUlJ5X5WRdK7UZFqIPObL3AmlTxlRKQmivS3srbLpdzeoG6J5+v7+XJZSAAzD59iY3Im+U4XB7PzeWvvMfzMJu44w31n0z4kkNVdLqXDBWeeitPA30psdh6bU7P+fO3LvGNJPNq0fpmfJ9WL2S/A6AgiIsaKT4A/t5wW8QZLlizBbrdz3333FTn+5ZdfAnDbbbed8d7jx4+Tl5dX5me6S1iPasqUKbRv356TJ0+Wub2Kpl20RLyc/fgRspbOMzqGSJWqe4YpUqeb1eliHt96gIe3HPAci/Dz5evOrbnoDCNwzubCAOs5r7k3sh5fHU3k4S0HuKV+KFkOJ00D/QjxtVDgcmEtx8ghqR5U4BERAfb+Dl2uB/17J17gyy+/JDQ0lJtuuslzbPv27Xz11VfccssttGnT5oz3LliwgGnTprFq1SpatmzpOe5yuXC5XMWu/2sR5qVLlxIQ8L/3BIcPH2bHjh20aNGChg0bVkCvzo8KPCJeLu3zfxUOixWRIr49Xrjg8cVB/nSoW4eT+XY2JGcyLjaOGR0uKlWRqKwuCvJnw02XcSTHxuWhgQzdfZTHm9Xnjg37OJiTz7BLGjGwRYMKf64Yz+JbfBcOEZFaJycHDh2GVhcZnUTOwP/LlUZHqBJr165l//799OvXD6u18Eu6DRs28NRTTxEUFMSYMWOKXO/v78/OnTvZuXMnvr6+LFu2jMDAQFq0aFHkOofDgaOEz17XXXcdoaGhfPLJJ3zyySdFzpnNZv75z39WcA/LRwUeES+W+9N/se3aanQMEa8Tm5XHhAPxPNg4jHHtm3l2r9qUksUjWw7wfswJxl/evFKeHerrwxV1fTiea8NqNhF1Mg038GKrCxkbE0e/JuEE/W1tIKn+zL5lHxUmIlIjHTwEjSIhQCMbxTibNm3CbDbTt29fAJYtW8bTTz9NvXr1+Oabb4qMygF45JFHGDp0KN27dwcgMDCQ999/H9PfdkC12WzYSlhQvEGDBmzevJnY2FicTqfnuNlsplmzZkRGRlZ0F8tFBR4RL+XKzyd95sdGxxDxSuuTM3EDTzWPKLI1+bVhwVxTL4iNKVmVnuGLI4kMbNGA0b+foGt4CP2bRzAuNp5DOflcHqoFeWsas0/x3dxERGollwtiD8IV7Y1OIrXYW2+9xV133eVZSLlXr17MmDGDjh07llhs6dWrF7169Tpnu5s2bTrjuXr16nHttdeWP3QVUIFHxEtl/WcOzpREo2OIeDW7q/hCd3kuF44SFsCrSGkFDlJtdloF+ZPvcuFvMRPw5y5aec7i87almjObMVvOvUaTiEitERcPzZtBaPGdLkWqypVXXlnkdWkKODWdVscS8ULO1GSyFs82OoaI12oaWLgeyrfHk4scX5uYwY60HK6o5BE0Xx5N5InmEQAEWszkOV3kOAoLO3Usmp5V05gDg4oN4RYRqfVitG26iLfRCB4RL5Qx53Pc+WXftk+ktugWHkKrIH/mHU9mQ0omLQL9SbLZ2ZeVh5/ZxCut/zc09/fMXH7PyqNLeAj1/c5/mk2e08W+zDxeurjwGW2DA1hxMg2X242f2UTLOlqMt6YxB4caHUFExPukpMKpRGgQYXQSEfmTRvCIeJmCIwfJWbPM6BgiXs3PYmbhNa15pEk4DpebjSmZHMuzcV29IL66+mIuCf7fwo8rT6bz4q4jHMzOr5Bn/5SUQb8m4Z7XA1o0oKG/lcVxKYy5rBmBWmC5xjEHBRsdQUTEO+2PhUqeFi0ipWdyu/U3UsSbJA0fTP72My/uJSIiZWep3xBn0sly3et/5TXUv6F3BScSEakh2l0KzZoYnaLWiI6OJiJCo6aqq8TERNq1a1dp7WsEj4gXydv2q4o7IiJexhIYZHQEERHvdeAgOBxGpxARVOAR8Rpup5OMmZOMjiEiIn9jDtC29yIiZ1RQAH8cNjqFiKACj4jXyFmzDPvRP4yOISIif2P2DzQ6goiIdzt8BPIrZq07ESk/FXhEvIArP4+MOZ8bHUNEREpg9gs490UiIrWZywX7DxidQqTWU4FHxAtkLZqNKy3F6BgiIlICiwo8IiLnFhcPmZlGp5BayOVykZ2dTVXtH+Xw4jWnVOARMZgzJYms/8wxOoaIiJyB2epvdAQRkerh91ijE0gt9NJLL9GyZUtsNluR4y+//DJPPPGE5/XkyZPp1avXWduaP38+27dvL/Fcbm4uPXv2ZNIk71031cfoACK1XcbcqbhtmrMsIuKtzD5+RkcQEakeUlIgMQki6hudpNa688s9Rkc4q6gn21d4mz4+PtSpUwd//6JfyCQnJ5OUlOR5feLECXbu3HnWtv71r39x3XXX0aFDh2LnAgMDueyyy5gyZQoPPfQQTZo0qZgOVCAVeEQMZI87Rs6a5UbHEBGRszD7WI2OICJSfcTEQv1wMJmMTiK1hI+PD0FBQSUe9/H5X8nDarUWeV0Sq9XKhRde6Hl99OhR0tPTPff27NkTs9lMRkYG+fn5uN1u7HY7AQEBtGzZsuI6VU4q8IgYKPPrGeByGh1DRETOxGzGbNHbJRGRUsvOhhNx0KSx0UmkFvHz8yMuLo7Ro0czceJE/P39MZvNWCwWzzUmk6nI6zO1c3oRaNq0acyZMwer1Yqvr6/n+HfffQcUrv9jt9vp0aMHU6dOreBelZ3esYgYxH7sMLnr/2t0DBEROQtznWBMJi1ZKCJSJgf/gEaRYNbvT6kcR44c4ejRo3Ts2NGzuPLgwYM5cOAA0dHRWK1WsrOzycvL48CBwh3eMjMzcblcxMbGFhl189NPP7Fv3z6efvppnE4nZrOZffv2MXPmTD744APGjBnDzz//zMUXX0yDBg08GebNm0dERAS33HLLOQtHVUUFHhGDZHw9vXBLSRER8VrmoBCjI4iIVD95+YWjeJp63xolUjP88MMPvP7666xevRq3282xY8fIzs5myZIl7Nq1i9dffx2n04nL5fIsrJyXl0d+fj533nknNpuNHj168MUXXxAVFcXixYt57rnnsNvt7Nmzh6+++orGjRuTlJRESEgIAwcOpEePHnz88ceeDBMnTgRgw4YNBAR4x46bKqmKGKDg8AHyfl5jdAwRETkHc1Cw0RFERKqnPw7ry0ypNBkZGQA0atQIp9NJYGAgCxYsoG3btvTr14+jR49y55130rlzZ2JiYoiJieHJJ58kODiYgwcPcvz4cb744gsAkpKSaN68OQAFBQX897//5d5772X58uVERkYSFBTEyy+/zLfffutZpHnnzp0cO3aM1157zWuKO6ARPCKGyJw3Df4cSigiIt7LXEcjeEREyiUvD+LitRaPVIqUlBQCAgIIDw/HZrPRrFkzLr/88nK1dfz4cU+BJyMjg5dffplhw4aRmZlJTEwMVquVzp0707dvX+x2OwcOHGDWrFmEh4dz2WWXsXfvXux2O02aNCE8PLwCe1l2KvCIVLGCgzHk/fqj0TFERKQULIF1jI4gIlJ9HTyktXikUsTFxREZGQlATk4OwcHlG3Hrdrs5cOAAN910Ew6Hg+zsbM9uWDt37uThhx/Gz88Pq7VwR81169YVuf++++7DZrNht9v56KOP6Nev33n06vypwCNSxTLmGr+6uoiIlI45QAUeEZFy0ygeqSSHDh2iUaNGACQnJ1OvXr1ytWOz2Rg0aBDdunUjPj4ewLOQcteuXYmLi6uYwFVEBR6RKmSL2UP+1p+NjiEiIqVk9g80OoKISPWmUTxSCRYtWoTNZgMKR/O0adMGKBzNs3//fvz8/MjKyiqyi1Z6ejoul4sDBw7gdDqx2WxccsklDBs2DICffy78nHbkyBG6devmeVZiYqJnzZ+ShISEFNldy0gq8IhUIY3eERGpXlTgERE5T3l5EJcATRoZnURqkL/WuklKSiIuLo5FixbRt29fgoODufvuu/Hz88PPzw/As4sWgNVq5e6778Zut2Oz2fj5559p0aIFANu3bwfgrbfeonXr1lx33XUATJo0ybMgc0kGDhzImDFjKqWfZaUCj0gVsUXvxLZjs9ExRESkDCxWf6MjiIhUf3/8AY0u1CgeqXDr168HoEWLFvzjH//gm2++8Uy1io+Pp27dugQG/u/LmoKCAs96On/3008/cc011+BwOBgwYABr1qwhMjISf39/OnbsyMqVK4vd065duzO2ZwT9DROpIhlzPjc6goiIlJFZBR6p5o4nJeHWzp1itNw8iE8wOoXUQF9//TVt2rRh+fLlNG/enH/84x+cOnUKm83GY489xq233kpaWhoAmzdvplOnTixYsKBYO0ePHmXjxo307t2bGTNmYLfbGTRoEC6XC/M5CpMWi6VS+lYeKvCIVAHb3h3Y9mwzOoaIiJSR2cfP6AjiZf79f/+l3XPPYL3nbvzu6UW3119l16FDZb6mtBxOJx8uXsSVg5/H/95eNHr8EV74/DNSs7I812Tk5HDH8Le44MH7mbBksee40+nk2U8mq8Aj3uHgIdD/F6UCbdq0iQ0bNjBo0CDq1KnD1KlTmTBhAg0aNGDUqFHs2bOHIUOGcMEFFwBw6aWX4ufnx6uvvsqePXuKtDVlyhSsVit9+vShcePGDB8+nJSUFBISEjCbzTgcDlJSUor9eNvvV03REqkCmQtmGR1BRETKwezjPcOuxXiTli7hpRnT6Na+PYN63sWp9DQmfbeUm4a9xr6p07iwXlipriktt9tNn9HvsnzrFh6/5VaG9L6HXYcP8XnUCv67fRubJkyiXnAws1b/H7uPHOa5u+7itX/P5IlbbycsJIRFG3+mz/XXn/PbZ5EqkZtbuKNWY63FU5minmxvdIQqkZmZyZAhQ2jVqplNXn0AACAASURBVBUPPPAAAJdccgmXXHIJn3/+OV988QXPPPMMDz/8sOee4OBgpk6dSq9evejfvz9r1qyhbt267Ny5k7lz59K/f3/Cwgp/Rz/22GM8/PDD+Pr64nK52LVrF23btjWkr2WhAo9IJSv4I4b8bb8YHUNERMrKbMZs0VslKZSUkc6bs7/k6R49mT7kn57jrS6MpP+kCcxZt47+t99+zmteu/+BUj/z+02bWLZlMyMefoRRjz7mOX558xYMnDyJiUv/w3uPPUHMieN0vaw9Ix5+hLEL5nMwPp6wkBDm/rCORW++VTH/A4hUhL921DKZjE4i1VhmZib3338/x44dY8mSJfj6+nrOTZkyhffee48uXbrwzjvvFLu3Y8eODBs2jNGjRzNo0CBmzZrFgAEDCAsL8+ymBWAymTztOp1OrrjiCr799tti7XXp0gWHw1HxnSwnvWsRqWSZC78yOoKIiJSDuU4wJpNGPkihrNw83nqwH//v7l5Fjne6uDUAp9LTSnVNWUT9tgWgWHv9ut3EwMmT2HbwIFA4jcvXYsHnz3UgHC4na3Zs58ZL2+Hnq1Fo4kVycwvX4vn/7N13eFTV1sDh35zJJJl0WhJKqAIColJEBEQ6glICNogFRCkCiheu7YqA0kEF4QqKCCpVQRApIgpS5FNDVXqooaSQnklmMvX7I2YuMQHSzySz3ufJI7PPOfusg4lm1uy9Vs0aakciyjF/f39GjhzJ9evXnZ2uclSrVo1mzZqxdOlSPDzyT3eMHTuWEydO0L9/f/R6PZMnT0aj0RAYGJjv+SaTCQ8PD+fqnhtpNBpMJlPxH6qESIJHiFJkuRqN8def1Q5DCCFEESj+AWqHIFxI/erV+c9Tg/KM/3b6JAD31q9foHMKI9lgQKPRUDUg9/diZlb2mwnfv1sA16xSlU2//8aeY9k1JWpUrsJrn3/GZ6+8Wqj7CVEmzp6DGtVlFY8oMo1Gw4ABA/I99tRTT/HEE0/ccmuqRqNh8eLFztc3tlHPz9tvv43NZsv32PHjxwsQcdmRj6WEKEXp674Au13tMIQQQhSB4icJHnFrFquVDzZsICSoEv3btivyOTfTqGZNHA4HPx89kmt89e5fAOhyz70ADO7Uiejr8XR96w0eua8NqRkZ1A+tTqCvL2aLpfAPJkRpysiEmFi1oxAVWEnXHfP19SUgoHz8TiAJHiFKyXVDFj9QA4tOWuwKIUR5pPj4qx2CcHFTVq3g5OVoZg4Zir+PT5HPuZkRvR4hyNeP5z6Yy8b/28+Zq1f47+ZNvPb5UoJ8/Xi6cxcAGtcK49xny4ic9xHfT5rCvO82MLB9B+4d8xL+jw1g3sYNxX5WIUrUhYtqRyBEhSRbtIQoJasPXOYrcz2qdZ9Of8dlOu9ZjndG4fbeCyGEUI/Wx1ftEIQL++HAAWZ88zVPPNiRId17FPmcWwmrVo19c+Yy8r8LGDh9KvYbVgW/+/SzuRJGQX5+tG7YiItxsXjpdKz/dR8OHEwaHMFry5YyrEfPQieYhCg1qWmQlAyVK6kdiRAViqzgEaIUGLKsfHv0KgDXM60sMVZnRPu3+abvf0irGqZydEIIIQpC0UuCR+Tv1OXLDJo9k7vq1OHzcf8q8jkF0axOXfbOfp+M9Rs58+lS/PR6GlSvzrh+/fM9/8ONG3i1/wCOR1+iR4uWvNy3HxarlTNXrxY5BiFKhaziEaLESYJHiFLw7ZGrZJhzF+JKN9tYnRbIiHteYXn4u1yv3Uyl6IQQQhSEJHhEfmKSEuk9aSLenjq+f2cKvt55t2IX5JzC8vb05OMtmzEYjXw0YhSeN7QFzpGYlsb11FTuDAvDaDaj9/TC5+9CzJlZWcWOQYgSFRef3VVLCFFiJMEjRAmz2OysOXT5psezbHY2JXvzUoPnWDhgJtF3Fq7gohBCiLKheOnVDkG4mJikRLq8+QbX01LZPOldagcHF+mcorgQG8uirZvp/0A7et/XJt9zFm7exJhH+wLZHbYys7IwmIwA+OmlJqBwQRcvqR2BEBWK1OARooRtOxHLdYP5tufZHLAzSWFnaH/uazqA8Es7ufPg1jKIUAghREFoPeUNscjtsenTOHXlMs927cbJy9GcvBztPBZSqRLdW7Qs0DkAf144z58XLtC9RUtCKt2+Dsm4TxfjodXy0YhR+R7PNJk4cv48kwY/DcDd9erxzb692B12vD09aVSzVnEeXYjScfkqNLwD8lmRJoQoPEnwCFHCVh64+eqdm4lMshPp34km/bsxICGSFvu/RrHbbn+hEEKIUqN4ygoe8T+xSUnsP3kCgC9//okvf/4p1/GHmjeneZ26tz0nJ8Hz7f5fmbJqJbtmzLptgmf7wQNs+v035g57kbBq1fI/59BBXujR0/l6XL9w/u/UKb7c+TOLR48tkW1iQpQ4mw0uX4H69dSORIgKQeNwOBxqByFERfHHpSRGf32k2PPU9tcxwHiSB3Z/ic5iKoHIhBDCvWmrhWK7Hluoa0JfeBOdl18pRSSEEAIAb2/o3BE0GrUjKReOHz9OcAlt/RS3Fxsby1tvvUVERARdu3Yt9nzx8fE0a1Z6tVilBo8QJejrQ1dKZJ7odAvzrHcwuvt0tvZ+FZOvtJAUQoiypmg91Q5BCCEqPpMJYgqXgBfiRlFRUTz88MPs27cv3+OjR49m9erVRZp74sSJbN68mTlz5pBZDoqCS4JHiBJyLdXI3nMJJTpnQqaVzzKlxboQQpQ5RYuilZ3sQghRJqTYsiikY8eOcfLkSaKiojCbzZw6dYp169YRFRXFsWPHOHjwIGZzdl3UyMhIjh8/Xuh7fPbZZ3z33XeMHDmSy5cv88wzz2A0Gkv6UUqU/OYiRAlZd/gq9lLa8JhutrHaHMi397xCj4BMHj24lmrRhf+PlBBCiIJR/PzRaORzMCGEKBMpqZCcApWC1I6k3Pt2xXW1Q7ilAU/nX0essIYOHUp8fDxeXl4oioK3tzc//PADP/zwAyaTiaysLA4ePEiNGjXQ6XT4+PgUav4NGzYwceJEnnrqKd555x169+7NoEGDGDRoEEuWLKHaTeqhqU0SPEKUAJPFxqa/rpX6fbJsdr5P9mZrg+fo2NpOvxObqH1qf6nfVwgh3I3iF6B2CEII4V4uXIRK96odhSgnIiMjSU5Odq7SuZGiKPj5+bF161aysrJIS0tj165dxMfHY7FYsFgsTJs27aZJmvXr1zNmzBi6du3KuHHjaNy4MW+//TYrV65k8ODBdO3alU8++YQHHnigtB+z0OSjKSFKwA8n40g1WcvsfjYH7EpSGBfanxkD5nKqVe8yu7cQQrgDxc9f7RCEEMK9xMVDpmtvfxGu5fnnn6d58+Z5vrp06YKiKEydOpVPP/2UtLQ0jEYjRqOR8+fPs3HjRvz88jZRsNvtTJ8+nZdeeonu3buzdOlS6tWrh5eXF7GxsbRr145169ZhtVoJDw9n/PjxxMTEqPDkNycJHiFKQEkVVy6KyCQ7b/l34q3+H3CgwyDsila1WIQQoqLQ+kiCRwghypTDIbV4RKF4e3szatQo4uPjnV9vv/023t7eeHl5cfjwYX755Rdq1KjBE088wSeffEL37t2pWrUqer0+11yHDh3i4YcfZt68eVSpUoWmTZsyf/585syZQ0REBFqtltmzZ7Nz504eeeQRvLy8WLlyJa1bt2bIkCGsWrUKV2hQLlu0hCimQ5eTibpuUDsMTqVYme7RgtqPtCHceJJ20mJdCCGKTPGV9uhCCFHmrlyFRneAh7xNFbdnMplYu3Ytu3btco4lJiai1WqxWq18/PHHDBkyBIPB4Fyxc/36dWrUqJFrjlGjRrF161aqV6/Om2++yYwZM9i+fTuBgYH53jcqKoqQkBC++uorZs+ezdatW6lSpQqDBw8u3QcuAPnJEaKY1Fy9k5/odAvzuYOV3afTn8t03rMcvSFZ7bCEEKJcUfS+aocghBDux2rNTvLUraN2JMLFpaSk8OKLL+JwONBoNLmOeXt7c+7cOb788kuWLFlCQkICISEhAKSnp+Pv75/r3FatWhEYGMjkyZM5deoUAFOnTqV9+/b53nvs2LH8/vvvNG7cmKVLlxIbG5snBrVIgkeIYohLN/HL2ZJtjV5SEjKtfEZ11rR7mz7eSfTc/yUBCZfVDksIIcoFxatw3TaEEEKUkOgrkuARt7V3716GDRuWZ9zHx4fly5fTuHFj9u3bx5tvvsnKlStZunQprVu3xmazYbfbc10zZsyYPPOEh4ff8v5169Z1/jk0NLRoD1EKJMEjRDGsP3IVW2n1Ri8hhlwt1o08enCNtFgXQojbULz1tz9JCCFEyTMYpGW6uK2ePXty/vx5fHx8UBSFhQsXsnDhQlauXEmrVq2A7NU5GRkZhIaGcvXqVbp3707nzp25fPkySUlJJCYm0rBhw3znX7BgAS1btsz32NSpUzlx4kSpPVtxSIJHiCIyW+1s/LP0W6OXlOwW617OFut9T3xPnVO/qh2WEEK4JK2XJHiEEEI1l69Igkfckk6nw2AwEB0dzbVr11i8eDG1a9dm4cKFnDt3js2bN3P+/Hk2bdrEhx9+SPfu3fnpp5/Q6XSsXr2a7du38+qrr7J8+XIefvjhPPPXqlXrpsmfgIAArNay66BcGJLgEaKIdkXFk5xpUTuMQstpsb4rtB/3NQ2n/6VdNDm4Re2whBDCpSg6b7VDEEII9xUTC03vlGLL4qYmTpzIp59+CkBISAhpaWkEBwfTpEkTunXrhs1m46WXXqJZs2Y8+eSTKIrCU089hdFoJDg4mHHjxgHQokWLfOe/3RatqlWrluwDlRD5iRGiiDb9FaN2CMUWmWQn0v8h7uzflQEJkbTc/zWK3aZ2WEIIoTrFw1PtEIQQwn3ZbNlJnrBaakciXNTQoUPp0qULLVq0ICgoiDZt2tCzZ09ee+010tLSeOKJJ7h+/Trbt29HURTndXq9nhUrVvDOO+/wwAMPOIsv/9ONW7RSU1MJCAjIVUjZbDbz7LPP8txzz9G1a9fSfdhCkASPEEVwLdVI5KWK05kqd4v1U7Tb8yU6s1HtsIQQQjWKThI8QgihqstXJMEjbqpBgwY0aNCAy5cvc//995OSkkLTpk2B7C1UQ4YMoVq1atSvXz/XdVarFavVyqZNm245f84WLbPZTO/evcnIyGDEiBE8+eSTGI1GnnvuOQ4cOMDdd9/tUgke5fanCCH+6fu/YnDt0spFE51uYb61AaO7TWNr739h9KukdkhCCFH2FC2KolM7CiGEcG8pqZCernYUwoVt2bKFSZMm8a9//Ys9e/ZQq1Yt5s+fD8BTTz1F586deeONN/j++++d13z88cf07duXM2fOFOgeVquVf//739x11128+eabtGrViq5du3L+/Hm+/fZbJkyYUCrPVlSS4BGikOwOB5uPl//tWbeSkGnls8xQRrR7m2/6/ofUarXVDkkIIcqM4uefaxm2EEIIlVy+onYEwkVlZmYyadIkIiMjefzxx7nzzjs5dOgQ06ZN4+LFiwAoisKFCxeYOXMmDkf2x/PPP/88QUFBTJ06Nd95o6KiANi1axcvvPACTZs2xWg0smTJEn799Vc6d+5MTEwMBoOB77//nri4uDJ53oLSOHKeVAhRIL9dSGTsuqNqh1GmPLUaegSY6CMt1oUQ5ZS2Wii267EFOtejRm2qh48o5YiEEELclk4HXTqBVtYl5Dh+/DjBwcFqh6G6ESNGsHHjRtasWUPnzp0BuHLlCi1btmT69Om88MILAOzYsYOIiAhWrVpFt27dAJg/fz7Tpk1j165dNGvWLNe8ERER7NixA8jeptWzZ0+GDx9OvXr1nOf89ddfTJo0iX379lGtWjX2799PYGBggeKOj4/Pc8+SJDV4hCikTccq9uqd/JhtDjYne7FNWqwLIdyA4hegdghCCCEALBaIi4Ma1dWORLiQlJQUoqOjGT58uDO5A9kJmfDwcPz9/Z1jXbp0YdSoUdSpU8c59swzz7Bx40bS0tLyzP3SSy9RqVIlnn76adq2bZvv/Zs3b863337Lpk2bMJvNBU7ulAVZwSNEIaQaLfRe9Ctmm13tUFTXurJC+KVfaHJws9qhCCHEbRVmBY++xQNUbfdoKUckhBCiQKpUhvvvUzsKlyEreLLZbDbsdjs6XfmqmScreIRwIdtOxEpy528Hkuwc8O/Inf27MCDhAC33r5UW60KICkHx8VM7BCGEEDkSkyAzE3x81I5EuBCtVotWq1U7DJcjmxmFKIRNf7nf9qzbyW6xfi+vPjKX3d1GYPHUqx2SEEIUi6KXNxFCCOFSLl9VOwIhygVJ8AhRQCdj04i6blA7DJd1+YYW61ukxboQohxTvH3VDkEIIcSNrl4FqSwixG3JFi1Rbhw+fJhnnnmGf//73zz33HO3PPeXX36hdevW+Pn9b5n9+fPnMZvNt71PUFAQoaGheca/k9U7BZKQaWUpoaxt9zaPeifR8/++IvB6tNphCSFEgWm9ZCWiEEK4FFMWxF+HEKk9I8StSIJHlBt2u53jx4+TkZFxy/NiYmLo1asX/fr1Y82aNc7xHj16cO7cudveZ/To0SxcuDDXmNlq58eTcUUL3E0ZzDbWmAP59u6x9Agw8eihtQRfOqZ2WEIIcVuKJHiEEML1XLkqCR4hbkO2aAnVnTlzhqFDh2Iw3Hr7k4dHdj7ydpXSq1evzpQpU1i7di2ffvqpc9zT05Nhw4bhcDhwOBykp6dz+fJl52uHw0GdOnXw9vbOM+ev5xNJz7IW4elETov1l+o/y0cDZnGpSQe1QxJCiFtSdJ5qhyCEEOKf4q9nt00XQtyUJHiE6qZNm8by5ct56KGHiIvLXiVjsVg4depUrq/o6OxtPnFxcXmOZWZm5ppzwoQJtG3blunTp2P5+38E/0wMff7554SFhWG35+6KlV819h9Pyeqd4rI74JckDa+G9GX6gLmcaCUtiIUQrknR5U30CyGEUJnDAbHyO7kQtyJbtITqli5dikaj4YsvvqBjx47s3LkTjUZDkyZN8j1/4sSJTJw4MdfYr7/+Srt27ZyvFUXhiy++QK/XOxM7ipKdz7x27RqxsbGkpKTg6enpTBC1bt0aAI1Gk2vuDLOVvecSSux5hbRYF0K4Nq321itFhRBCqCQmFsJqqR2FEC5LVvAI1Xl4eLBs2TJGjx5NVFQUGzduxMvLC4BJkyY5t0/99ddfACxZssQ5tmzZMoB8t1U1atSIsLAw5+ucxM3q1atp3749s2bNwmw20759ex566KGbxrc7KoEsq/2mx0XRSYt1IYTLUbRoJMEjhBCuKTEJCtA0RQh3JQke4RI0Gg0LFizgp59+YvTo0fluk7oVRVGIiYmhVq1aNGrUiDvvvJM777yTxMTEXPcAGD9+PEajkf/+97/4+vqSnJx8y8LNO2R7VqnLabH+UtdpbOk9XlqsCyFUo/j551nJKYQQwkXINi0hbkm2aAmXodFo6NKlS5Gv9/f35/XXX8fX15f9+/ezdOnSXHV3cn5hv3TpEikpKcTExOBwODhx4gRms5k6derkmTPVaOG3i0lFjkkUTqLRylJCpMW6EEI1in+g2iEIIYS4lZhYqB12+/OE+FtaWhoBAQHFnsdgMHDq1Cnq1q1L1apVSyCykicreIRLyelqVRR+fn6MHTuW559/ng4dsjs13Zjgsdmya7zMnz+fdu3aMXv2bLy9vWnfvj0PPPAA+/fvzzPnz2fisdqLFo8oOoPZxpq0QEbcPZbPw98jvs5daockhHATWj9/tUMQQghxK4lJkJWldhTChbzwwgtMmjQp32Pr16+nSZMm/Pjjj7edZ8eOHbd8L3ry5El69+7Nrl27ihxraZMVPMKljBo1ivT0dL7++usSme/GZfYWiwWtVssHH3zABx98kO/5o0ePzvX6x5OyBFRNOS3Wt9Z/lo6tHPQ7+T11Tu5TOywhRAWm+EqCRwghXF5MLNTNu/pewPvvv692CLc0fvz4EpnHZrMRGxtLzZo1uXTpEhqNBqPRSExMDHXr1nU22OnZsydBQUHMmjWLHj163HS+77//nmHDhnH//fczb948GjRokOecnLqv+dV/dRWygke4jLNnz7Jt2zYCAwOdRZanTJmCRqNBo9HQvHlzAF588UXn2NChQ287b1paGgAmkwlPT09WrFjhvD7ny9fXN8911w1ZHL6SUoJPKIrqxhbr06TFuhCiFCn6vP8/EEII4WJiYtWOQKhswoQJPPbYY0B20x4vLy8OHz5M27Zt2bx5M2fPniUqKoqYmBheeeUVhg0bRlRUlPMrJSX3+7zevXvz5ptvcujQITp37sw333yT554eHtnrYwpbL7YsyQoe4TKmTJmCw+Hg3XffdS6NGz16NGPGjAEgKiqKvn378t577zl/mDds2MBbb73l3H71TykpKXTu3Jnt27eTkpJCUFAQen12p6aLFy/i5eXFokWLWLx4cZ5rd5yKR3ZnuZ6DSXYO+nekcf+uDEw8QMtf10iLdSFEiVH0fmqHIIQQ4naSU8BoAr3rrqQQpatjx46sXLmSmJgYIHvnRlRUFD4+PnTr1o3GjRuTdYutfDNmzGDYsGHO11qtlldffZVu3brxxhtv0KpVq1J/htIgCR7hEo4ePcqqVasYOHAg9957r/MHtWrVqtx5551A9hYrgNDQUOfYHXfcQc2aNbFarfnO++yzz3LhwgVOnz5NYmIi1atXx9PTE4CQkBC8vb3x9/fPd5ndj9I9y6WdTrEwXXsPYY+0ZoDxFO32fInObFQ7LCFEOad4+6gdghBCiIKIiYX6ddWOQqjkgQceAGDfvv+Vb4iMjKRly5b4+Pig0+kYO3Ysr732Wq7rTCYTtWvXdu4Y+afmzZuzZcsWrl27RnBwcL7nDBkyJM/Yzp07uesu9euGSoJHqM5utzN8+HAgexUPZCdx0tPTnckYIN+CV48//jiPP/54nvGcc3fs2MGqVauw2+0ANGnSxLkcLy4uDi8vL9LT0/MkiK4kZ3I8Jq0Enk6UtsvpFubTgBVdp9Ffc5Uuez5Hb0hWOywhRDml9darHYIQQoiCkASPWwsNDWXBggV06tSJzz//HIDu3bs73z/eLIGTI2e7FWTvFPnll18YOnSoczxnAcArr7zCE088AcD58+d55plnmDFjBh07dgRg+/btvPvuu85dImqTBI9Q3bRp0/jjjz+IiIigadOmQPYSOz+/3Mvkc5I0Bemy9dtvvwEwadIkBg0axPPPP4+Pjw9t2rRh48aNANStW9d5fqVKlXJd/9OZ+CI/j1CHtFgXQpQERecav6AJIYS4jdRUyMwEH1l56W5MJhMnT56kefPmJCcnYzKZSEtL44477sBsNpOamoqiKHz99df8/vvvua7N773ksmXL+Oyzz/jqq6+YO3cubdq0cSZ6qlatSsOGDQGciwKqV6/uHDty5AiQO2GkJteIQrit2NhY5syZg4eHB5MnT77luTk/jDmJnlupUqUKTz75JJMmTeLixYusWrWKQYMG4evrS0REBBEREfnObzAY0Gg0/BKVUKTnEeozmG2sMQfy7d1j6R5gos+htQRfOqZ2WEKIckK5zSd+QgghXEhMLDSor3YUooxdu3aN3r174+XlhaIoGAwGoqKi2LNnD2azma+++grI3r3Rs2fPXNdardZc27oAXnvtNex2O1988QV9+vRhwYIF9O7du1Ax3di9WU2S4BGqCg0NJTIyknXr1nHHHXfc8tycjOnNCirfaPr06ZjNZhwOBy+++CIWi4WXX34533OjoqJYsWIFR44cITExEa23Lydke1a5Z7Y52JLsxbb6z/JgKwf9pcW6EKIAFA9J8AghRLkhCR63VL9+fWfN1tWrV/PKK68QHh7Ohx9+mGslTfPmzXn66adzXWsymXjttddylegICgpi5syZ9O/fn7Fjx9KhQ4eyeZBSIAkeobrGjRvzn//857bnmc1mgFtWQ7+Rp6cncXFxpKenM2zYMFq0aJHvedWqVWPmzJmYzWbat29PWNteOP5MLfgDCJdmd8DuJA27Q/rSqkl/wqN/oemBzWqHJYRwUVqtTu0QhBBCFFRaOmRkgK+v2pEIlaxbtw6A1NRUOnbsyJw5c2jfvj0Ac+fOZe7cuflel997yrZt27Jv3z68vLwwGAwAJCQkEBUVBUB0dHb5h5iYGOdYXJxrNeaRBI8oN9q3b1+g+js3CgkJYdeuXZhMppueExQUxM8//0y9evWoWbMmo78+XNxQhYs6mGTnoF92i/UBiQdoJS3WhRA30mrRSIJHCCHKl5hYuKOB2lEIFURGRrJv3z6qVKlCYGAgAQEBzJs3z5ngef755xk2bBhTp07FarXmKglSrVq1fOeMi4sjLCzM+Xr+/PnMnz8/1zlvvvlmyT9MCVHUDkCI0qbX6/MUUf6nDh06ULNmTdJNFg5eTimjyIRaTqdYmKG9h3GPzOWXbiOweEpRVSEEKH4BLrOHXgghRAHFX1c7AqECo9HIhAkT6Natm7N5ztChQ9m9e7ez8HHlypVp2LAhffr0ITIykrp169KwYUMWL17MoUOH8p131KhRudqgv/fee8THxxMfH8/u3bsBWL58uXPsv//9b6k+Z2FJgkeIG+w9l4jNXrhVQqL8upJu4SNrA17qOo0tvceT6V9Z7ZCEECpS/APVDkEIIURhpaTC36UchHuwWCyMGDGCU6dOMW7cOOf4I488Qps2bXLV1wHo1q0bFouFzz77jC+++IKvvvqKVatW5TnvzJkzHDhwgK5du5bJc5QG2aIlxA32nJVPANxRTov1NQ/8h0e9k3n4/76UFutCuCGtr5/aIQghhCiK6wlQs4baUYgykpqayoEDBxg0aBD33Xefc9zPz4/Nm/PW2gwKCmL06NHMnDkTi8VCnz59+PTTT1GU3OtdFi9eTOXKlXniiSfyJH/KC0nwQM3+9QAAIABJREFUCPE3i83ObxeT1A5DqCjDbGOtOYANd4+le0DW3y3W/1I7LCFEGVF8/dUOQQghRFHEX5cEjxupWrUqs2fPdtbauRWDwcC2bdt46aWX+P777zl58iRPPfVUnuTO+fPnWbt2LaNGjcLb27vcFlnWOApbtVaICuq3C4mMXXdU7TCEC1E08GAlB/1Obabuib1qhyOEKAZttVBs12NveY5vh+5UvqdT2QQkhBCi5Oh00K0zuEEdtePHjxMcHKx2GC7l4YcfpmHDhixYsMA51rRpU5o3b87Zs2eJj4/n+PHjZGZm8uSTT3Lq1CnCw8N57rnnaNOmDVqtlmeeeYYdO3YQGRlJWFgY6enpNGhQ8OLdkZGR1KlT57bnxcfH06xZsyI9Z0FIDR4h/rb3XKLaIQgXk9Ni/V/BfZg24H1OtH5U7ZCEEKVI8ZY2u0IIUS5ZLJAsjVLclclkwnxDHaaLFy+SmJjIrl278PPzY/369QQEBBAaGsqWLVt4/PHH+fbbb3n55ZdJSEhg+fLlbN++nV69ejk7aOXMd2OR5fy+coosWyyWsn/wfMgWLSH+tvdcgtohCBd2MMn2vxbrSQdptW+1tFgXooJRvH3UDkEIIURRXU+AyrfunCsqJrPZjMlkcr4OCQmhadOmtG7dmqlTp+Ll5eU85ufnx8KFCxk4cCC+vr6EhITQpUsX2rdvz5gxY3LNWRg33l9NskVLCCAq3sDgL/5QOwxRjtTy1zHAeIr2e75EZzaqHY4Q4jYKskWr8mPD8A2pX0YRCSGEKFH+/vBgO7WjKHWyRatg0tPT8fcveG09q9WKh0fpr3+RLVpClIFfL8jqHVE4uVqsPzKezIAqaockhCgmxVOvdghCCCGKKj0dXGQVhVBfYZI7QJkkd8qCJHiEAH67IN2zRNEkGq0szQhhRNu3WNvvbVKCb19cTQjhmhRPb7VDEEIIURzX5UNb4d4kwSPcntFs489rqWqHIcq5DLONtakBjGw+hqXhU4mv01ztkIQQhaR46NQOQQghRHHEX1c7AiFUVTHWIQlRDIeuJGOxSSkqUTLMNgdbkj3ZVv8ZHmwlLdaFKE+0Hl63P0kIIYTrSkgEux0UWccg3JN85wu39/vFZLVDEBXQjS3Wpw54nxP39VE7JCHErWi1KFpZwSOEEOWazQZJ8ru9cF+ygke4vd8uSv0dUboOJdk45Psgjft3kRbrQrgoxT9Q7RCEEEKUhPjrUFWaXwj3JAke4dbi07O4kJihdhjCTZxOsTBDuZtaj7RigOk07Xd/IS3WhXARil+A2iEIIYQoCVJoWbgx2aIl3Nrvl2T1jih7V9ItfGSpLy3WhXAhWt/CtVMVQgjhojIyICNT7SiEUIUkeIRb+122ZwkV3dhifY20WBdCVYokeIQQouKQVTyihGRmZvLss88yY8YMzGaz2uHcliR4hNtyOBxEygoe4QIyzDa+lhbrQqhK8fFTOwQhhBAlJUl+x3d348ePp23btpw8ebLIcxgMBgYNGsT27dtZsGABH3/8cQlGWDqkBo9wW2fiDSRlWtQOQwgnabEuhHoUbx+1QxBCCFFSpJOW28vIyCA2NpaGDRsW6frTp08zatQozpw5w6JFi9Dr9YwcOZITJ04wa9YsKlWqVMIRlwxJ8Ai3JduzhKvKabG+O7gPLe/sT/jlX2gW+b3aYQlRoWklwSOEEBWH2QyGDPDzVTuSMlfp5AS1Q7il5CZzy+Q+Wq2WSpUq4eFRuJSH3W7n888/591338XX15e1a9cSHx9PQkIC69at47nnnqN9+/ZMnjyZxx57DEVxrU1RkuARbksKLIvy4MYW6+FJB2m1bw1au1XtsISocGQFjxBCVDBJSW6Z4HEn/fv3Z//+/bc8Jzg4ON9xrVZLTEyM87XD4WD79u3Mnj2bY8eOcc8997BkyRLq1KlD3759iY6O5tChQ2zdupVXXnmFMWPGMHv2bIYNG0bfvn2pWbNmiT5bUUmCR7gli83O0aupaochRIGdTrEwU7mbmr1bMSDrNB32fIUuK0PtsISoMBRPb7VDEEIIUZKSkqF2mNpRiFLk5eVFaGgo69evz3PsmWeeISAggP/+9795jk2dOpW9e7PLIKSlpTFnzhy2bdtGdHQ0Pj4+TJo0iStXrtCmTZtc11WvXh2AJ598kkGDBjF9+nQmTZrEpEmTqFmzJhs2bKBu3bol/6CFIAke4ZZOxKaTZbWrHYYQhXbVYGEB9VnZ5T36K9fosncZPmmJaoclRLmn6CTBI4QQFYrU4anwvLy80Ol0eers/Pnnn1y4cIFKlSqxefNmXnjhBfz9/9ctMyAgwLm1KiAggJSUFK5cucKAAQP4z3/+Q1hYGImJiTz55JNUrVoVvV4PwJkzZ0hISKBt27ZUq1aNvn378vnnn7Ns2TKaNm2qenIHpIuWcFNHr6SoHYIQxZJktPJ5RvDfLdYnSot1IYpJq/NUOwQhhBAlyWQCo1HtKEQZi42NZfjw4dSpU4eRI0fy8ccf07p1az799FOs1vzLHLz11lvs2rWLxYsXExaWveqrSpUqLFq0iP79+3Po0CHS09MZO3Ys77zzDj4+2du6fXx8GDNmDJGRkcyfP7/MnvFWJMEj3NIR2Z4lKojsFuv+2S3WB0wlru7daockRLmkeEiCRwghKpxEqbnpLgwGA0uWLKFTp07Y7Xa+/vprxo0bx++//06vXr14++236dGjB+np6XmurV69Ok2aNCE9PZ1mzZo5t3UNGzaMjh07EhERQadOnQgLC2Pr1q3O4svVq1fn9OnTKIpC5cqVy/qR8yVbtITbcTgc/HlVVvCIisVsc7AlyZNt9Z7mwZYO+p3eTN3j0mJdiALx8EDR6tSOQgghRElLSoZarlH8VpQeq9XKyJEj+fHHH+nfvz8zZ84kJiaGPXv28OCDDzJv3jyaN2+ORqPJtVXrn7y8vLh+/ToZGRkcO3aMr776ip9//plHH32U0NBQ1q5dy7Bhw3j//fdxOBzYbDa8vV1ri7ckeITbOZ+YQapJuhCJisnZYr1aH1oOkBbrQhSE4hegdghCCCFKg9ThcQseHh58/PHHXLp0iebNmwMwY8YMvv76a7Zt20bTpk0ZNmzYbefJqcuTkZGBr68vISEhrFu3jipVqgDZK3o2bNhA5cqVSUtLA0Cj0ZTSUxWNJHiE2zl6RbZnCfcgLdaFKBhJ8AghRAWVmQlZWeDlpXYkopQFBAQ4kztXrlxh7dq1TJgwgaZNmxZ4jszMTAAWLVrEokWLAPjoo4/ynDd79mznn40uVudJEjzC7RyR7VnCzeRusX6GDnu+lBbrQtxAKwkeIYSouJKSoXqo2lGIMuJwOHjttdcwmUz8+OOPdOrUibvvvn2NSovFgtFo5K+//so1brPZ6NevH9WrV2fJkiX5XpuZmeksvKw2SfAIt3NEVvAIN5XdYr2etFgX4h8UXz+1QxBCCFFaEpMkweNGZsyYwa5du5g1axbffPMNPXr0ICIigsmTJ9+y/s6ff/5Jr169bnr8xu1f//T+++/zzDPPFDv2kiBdtIRbiUs3EZNmUjsMIVQlLdaFyE3RS4JHCCEqLKnD4xYsFgtvvPEG8+bNY/LkyQwdOpTNmzczceJE1qxZQ6dOnfjjjz9uer3X39v4Nm3aRHx8PPHx8axatQoPDw8WLVpEfHw8a9as4Z133nEeP3/+fK5rXYEkeIRbkfo7QvyPtFgXIpui91U7BCGEEKXFYACzWe0oRCkbP348y5YtY+LEiYwYMQLILpo8evRoNmzYgI+PDyEhITe9XqvV5nq9cuVKnn/+eSIiIqhRowYbN27kq6++4t1333W2Uc/hSoWWZYuWcCtSf0eIvG5ssd6hpYP+0mJduBmtt2vsmxdCCFFKklMgJFjtKEQJczgczj+///77DB48mLZt2+Y5r02bNuzcuROdTofdbic2NtbZMSuH3W7P9Xrz5s2YTCZWrVrFzp07CQ4OJiQkhIceeogpU6bQrl07GjZsWDoPVgyS4BFuRervCHFzdgfsSdKwp1ofWob3Z8CV3TSN3KR2WEKUOkUSPEIIUbElJbtNgie5yVy1QygzWVlZzj/rdLp8kzs5rl69yujRo4mOjiYuLo4OHTrkOv7PBM+sWbNQFIUaNWrkSgZZLBZ27NhBSkoK69evB8Db27skHqdESIJHuI0Ms5VzCQa1wxCiXDiUbOOQbwca9evMgGRpsS4qNkXnOnvnhRBClIJU+ZC3IjIXYutd3bp1qVq1KiaTiX79+jF27Nhcx3NapOeoXbt2vvPodDp69+7Na6+9xvLlywkJCaF169aFD76UaBw3rmsSogI7dDmZEWsOqx2GEOVSTT8d4VlneFBarItySlstFNv12HyPBQ8Zj5dv5TKOSAghRJnx8IDuXcCFaqUU1fHjxwkOdo/VSK4sKSmJ1NRU6tSpk2e7163Ex8fTrFmzUotLiiwLt3EqLl3tEIQot64aLCy01GNUl/f4/pEJZAZUUTskIUqM1sN1llYLIYQoBVYr/GOFhhDFUblyZerVq1eo5E5ZcK1ohChFJ2MlwSNEcSUZrSzLCGb4/W9mt1gPqat2SEIUm+LhqXYIQgghSluavBcQFZ8keITbkBU8QpScTIudr1P9GXHXaD4Ln0psvXvUDkmIovHwQNFKSUIhhKjwpA6PcAOS4BFuIdNsJTpZlmUKUdIsNgdbkz0ZUzeCeQNmc7HZg2qHJEShKH6BaocghBCiLKTKh72i4pMEj3ALp+MN2KWcuCjHzCnxuHJN/OwW6/Cvan2YGv4+x+/rq3ZIQhSI1j9A7RCEEEKUhbQ0tSMQotRJgke4Bam/I0qCw27j5MIxnFr8r2LPZTNl8tfMp7mwdpZzzGo0cOazNzg8qR+xe77Jdd+L6z8EF07w3OhQso2Jvh14o9+H/N7xaWyKbH8RrkvxkwSPEEK4BYsFjEa1oxCiVEmCR7iFU3GSsRfFd+2nFWREnyyRuaK/W0BWUkyuscQD2zHGnKda2z5c2fop1ozsveLJf+6h0l0d0LhYlf7bOZNqYZZyN+N6z2Fn91FYvHzVDkmIPBQf+b4UQgi3kSrvCUTFVr7eLQhRRFJgWRSX4dIJYnauAI2m2HMl/bmbxIM/5pnLFB+NX/3m1Oj2LNjtmBKvAZB4+CeqtOpe7PuqJW+L9apqhySEk6L3UzsEIYQQZUW2aYkKTtbNiwov02zlUpIUWBZFZ8sycmH1dHxrNgJFW6y5zCnXubT+Q4Lu6kDm1ahcxxx2GxqtB5q/7+Gw20iLOohf3bsqRBvnJKOVZQSz9v43eNQnlYd/+4qguItqhyXcnFZW8AghhPuQFTyigpMVPKLCOyMFlkUxRX+3AEtGKvUG/wdNMdopOxwOLnw9C8XTm7qPjc9zXBdYFWPsRdIv/AmAZ0AVrv+2mWpt+xT5nq5IWqwLV6J4S4JHCCHchqzgERWcJHhEhXdStmeJYkj6czeJB7ZTJ/xlvKvUKNZccXu+If3cUeo/9SYePnkLu1a5tyvmlDjOfDqBwDvvx2bKwKtKdTz0ftitlmLd2xX9s8X6hWYPqR2ScEOKp7faIQghhCgrWWYwmdSOQpSSp556ioEDB+YaCw8P5/nnny/Q9WvWrCE4OLhQX8OGDSuNRyky2aIlKrzTkuARRWROvc6lbz+kcstuVGlZvBo4mdfOcfWHz6neZTD+DfJfseIdHEbz11eQlXAVn1qNuPj1bKo90I/jHw7HFB9Nrd4vEvLgwHyvLc9yWqzvqfYILcP7En5lD80iv1M7LOEmFC+92iEIIYQoS6lp4F1xk/srjjyldgi39PS9a0pkniNHjuDh4YGXl5dzLCMjA71eT1TU/8ogmEwmbDZbrjGHw0FWVhZ6vZ477rjDOe799/fFggULaNmypXN85syZREZGsn79+lwxDBw4MNf9XYEkeESFd/a6Qe0QRDnkcDi4sHY2Ht5+1On/SrHmsluyOL96Gj61GmYXUL4FD70fHmGNyUqKReOhI+XYHsBBje7PcGXrp1S9rxdab59ixePKDiXbOOTbnob9OjEw+RCt9q1Ga7eqHZaowBSda/1iJoQQopSlpUFIsNpRiGJ67LHHsFqtzqQMQHp6Ooqi0KdPn1xjWq2W33//3TmWk+Dp2LEjX375pXNcq82ug1mrVi0aNmzoHA8ICECn0+UaA9DpdHh4uFZKxbWiEaKE2R0OLkqBZVEE2dupjnDHkKnYbRbsf7csd9iykw2WjFQUD0+0Bfj0/8qWTzEnxdJ45IdYTTckHB0OHFZL9lw6L7Q3bBWJ27uOkAcf48rmxQQ0bE1w+wFc/eFzTAlX8K3VqGQf1gVFpVqYqTSnZu+WhGdF8eCeL9BlZagdlqiAtB6S4BFCCLeSJqv7K4KzZ8/mGRs4cCA1atRgwYIFtxy7GUXJrmCTnJxMXFycc9xoNGKz2XKNAdhsNmdSyFVIgkdUaFdTjGRZ7WqHIcqhlJO/gcPO2WVv5Xv86JQBVGnVg3pPvl6Auf4PuyWLkwteynMsKSWepKO7qN7tWWr2eA4Aa0Yq1oxU9MG1sVvNKDpP5yoDu8W99o1fNVhYSF1WdnmP/so1uu5djk9agtphiQpE8dCpHYIQQoiyJJ20KqzPPvssT8Llm2++Yd68eYwcOZLFixff8nqHI7szz81q9jRv3vym17gKSfCICu1cgnziL4om7NGR2Ix5P+G5vHmx87guoEqB5qo36C0clqw84+dXz8CnRgNCH3oCr8rVnePx+78juF1/ABSdN3ZLFnazEQCtp3vWC0m+ocX6Iz6p9JIW66IkeOhQtJLgEUIIt2IygdUKLra1RhTO/PnzOXv2LJ6enmg0Gue4VqtlyJAhWCwWPD090Wq1nDlzhi1btnDq1Cm0Wi1ms5msrCwaNWqEn5+f89qcZM2KFSu4//77neNvvfUW+/fv55dffskVQ6dOnbDbXWsxgXxXiwrtvCR4RBHdbBuUVu8PQEDDVgBkxpzDGHOegIat0PlXzvca/7p35Tuu6DzR+Vd2zgVgM5vIvHaWGt2za/X4VK9P0p+7wWFH4+GJV7VaRX6miiDTYuebVH823jWabu2y6HPkG0IvHFU7LFFOKf55u9kJIYRwAxkZEBiodhSiGHQ6HZ6ennh7e6PRaIiOjuaHH35g6tSpHD16lNdffx1PT0+ysrIwmUwEBQXRv3/2B6hZWVlkZWWxYcOGXIkcqzW7FIOvry+BN3x/eHp6oihKrjHI3tKVc42rkASPqNDOJUiBZVG6kv/aR8xPX9JoxPs3TfAURtqZA1Rt09v5OvjBgRiiT5B4cAd1Boxz2xU8/2SxOdiW7Mn2uhG0bxFB/9NbqHd8t9phiXJG6ye/3AshhFsySIKnvHvppf+VPkhLS+PRRx9l0KBBDB8+HMhumZ6amkrXrl1p2LAhq1atIiYmhosXL9KuXbt858zKyl5xHx4enu/x4OC8xblbtGhR3EcpURqHq20aE6IEbfzuIikmCykOG1fNJs6kZ3AtM+9WGSFE+deikpbwK3u4S1qsi3xoq4Viux6ba8yryd0Ed3lSpYiEEEKo5o4G0OiO25/ngo4fP55voiGHu7RJv9HSpUuZMmUKZ86ccXbVslgsDBs2jJMnT7J9+3YqV67MiBEj2Lx5M++//z5PPZX37yktLS1PIWW4eZt0AD8/P6pXr55n/Gbi4+Np1qxZIZ6ucGQFj6iwHA4HCZeM2GwO9MAdeHIHnnj6Knj6eWD1gjSsXDNncTY9g4sZ7lW8VoiK5nCyjcN/t1gfkHyI1tJiXdyG4uOvdghCCCHUkCFlHMq7hIQE1q9fT/fu3fH29kZRFM6dO4der8fT05Onn36aEydOMGDAAObNm4fRaESj0aDRaHj55Ze5evUq48ePB+DYsWMkJCQQGBiYqyZPQaSlpZGYmEhgYCBhYWGl8aiFIgkeUapOnDiB1Wrl7rvvLvN7p6dasNnyLlAzZ9kxZ5kB8ATqoqMuQej0Cl7+WmxeGtI1NmIsWZw1ZHI+PRNZ5iZE+RGVamGWtFgXBaD4FO6XOCGEEBVERqbaEYhiSk1NZeLEiTRr1gytVktmZiadO3fm0UcfZcmSJfj4+NCpUydnEeaaNWvi7+9Pp06dWLt2LXPnzqVbt27cc889rFixgs8///y292zfvv1Njw0fPpypU6eW5CMWiSR4RKnZvn07Dz/8MAMHDmTdunUFvu7UqVNFul+9evXw8vJyvk5JLtxWLIvFjiUpuwq6BxCGB2EE0N07EG9/D+ze2YmfOIuZ85mZnE3LxCo7HIVwWTe2WO+nXKObtFgX/6DV+6gdghBCCDVkygc/5Z3H313QfHx8nP88evQoRqMRrVbLI488wkMPPcT169fZu3cv48aN49KlS8TExLBs2TJ++OEH7rnnHgAmTJjA+PHjCQgIcL6fTExMpHv37oSFhVGvXj327t3LggULCA8PZ8WKFXTv3h0Ao9FIampqnvbsapEEjygWg8GAwZB/IeO77rqLqlWr8sMPPxAdHY2np2e+5wUGBqLX/69wbNOmTSlKaajTp0/TqNH/Oh+lJJkLPUd+rFYHhmQLAFqgBlpq4M9DngHo/T1weGvIUOzEWbO4kGnidJoBi10SP0K4imSjleUE87W0WBf/oHhLgkcIIdyS1QamLPD2uv25wiXltEZXFMU5FhgY6Ox0NWfOHHx8fDCZTHz33Xe88847rF+/niVLlnDy5MlcNXiqVq2aa+709HSGDRtGfHw8a9eu5eOPPwagXbt2dOjQgbFjx/Ldd9/RuHFj9Hp9rveyalNuf4oQN/fBBx9QvXr1fL9q1apFQkICGRkZ1KlT56bnffvtt7nm1Ol0RERE4HA4CvS1bNkygDw/WMlJpVtM2WZzYEixkBFrhmtWQuK1tDX4MsQjhFeq1OKVmrV5sXYt+tcM5t5KAXhr5cdNCDXltFgfcddoloRPJbbePWqHJFSmeEmCRwgh3JbU4amwrFYrWVlZ1K5dG51O53yf6OnpiU6nu+W1x44do2fPnvzxxx8sWrSIhg0b5jr+0Ucf4eXlRe/evfn222+LtDChNMkKHlEsOUvijh49Su3atQt17b59++jTp0+exIyHhwcmk4nY2NibXJlbamoqADabLdd4SnLJrOApLIcdMlKtkB0WVVGoig/3KT7oAzxQfBQytXYS7BYuGU2cSk0nw2pXJVYh3FGeFutntlLv2C9qhyVUoHh6qx2CEEIItWRkQJXKakchStDRo0eJjo6mWbNm2Gw2GjRowMWLF52rfHKKLEN2Q56cPwNcunSJBQsWsHLlSvR6PUuXLqVXr1557lGzZk3WrFlDREQEI0eOZP78+Tz77LP06tWLGjVqlM2D3oIkeESx5PxQBAQEEBAQQGZmJnq9/qZ7EG02GyaTCS8vL2eF8vyynuvXr8+3Dd2tZGbmLpaWUsoreArL4YDMdCukZ7+ujIbK6GmBHn2QB1ofBZOHg0S7hcsmEydTDaRapAOQEKXF7oC9SbC3am9ahPch/Ope7vpjo9phiTKk6GRpvhBCuK0KWmi5NNqQu5qEhAS2bdsGZLcwv3DhApmZmXTv3p0ePXrQu3dvwsLCqFOnjnPXxz/t2LGDL774gvnz57Ny5UqmT5+Ow+Hg/vvvZ+HChdSpU8d5rs1mw2KxOF83adKEnTt3Mm3aNFasWMGbb77Jr7/+WqBCzaVNEjyiWG5MqkRHR1OvXr0CXbdjxw5CQ0Pp168fVapUyXXMbrfzxBNP8Mknn+S5bubMmcyaNYuLFy8691fmCAgIcP45y2TDZLT983KXZTRY4e9SRoFAIN7chTfeAVo8fLVk6RwkOaxcMZk4lWYgMctyy/mEEIVzONnGYZ92NOz3kLRYdyNaD0nwCCGE25ItWuWW3W5n8uTJaLVaUlNTefTRR2nTpg0tWrTA29ubrl27MmjQIDQaDSaTiays7A/+FUUhPj6eTz75hJ9//pnff/8dvV5P9+7dWblyJa+//joDBgzItbIH8iZ4AIKCgpgzZw6jRo1i0aJFDB48uMye/1YkwSOKZeLEiUycOBHI3ut4/vx59Ho9V65c4fHHHyc5OZlvvvmGFi1aANk/HEajkUqVKhEYGMjGjXk/Lbfb7eh0OoKCgvIc8/bOXk4fGBiY7/Ec6WnqbM8qaaZMG2RmJ6r8gSZ40QQvvPy16Py0WHQOkh1WrmRlcSbdQKyxYjy3EGrJ1WLdHEWHvV/gaZRfACsqxSP/4v9CCCHcgCR4yq3g4GCWL1/O/fffn+s9ocFg4PHHH8fT05OXXnoJALPZ7EzwtG3blqCgICZOnIi/vz8vv/wyvr6+NG3alN9++y1XweYbmUwmzOb832fVr1+fOXPmlPATFp3G4WpVgUS5ZjKZWLBgAe+99x7p6emsWLGCiIiIXOekpqby0EMPMWbMGF544YU8cyiKwn333cfQoUPzHNu8eTNbtmzhgw8+yFW7x2w2YzabCQoK4oUXXuB8VBo7Nl8p+Qd0cZ7eCp5+Hlg9IQUr17JMRBkyuJzhWtvVhCgvKuk96K/E0GXvcnzTrqsdjigGbbVQbNdvqO3moSNsxGTV4hFCCKEyjQZ6doObvKl3VcePHyc4OFjtMFxWfHw8drud0NBQtUPJV3x8PM2aNSu1+SXBI4rN4XBw4MAB1q5dy5dffonRaGTs2LHs2rWL06dP8/PPPztX8Fy+fJm+ffty5MgRevXqxerVq3NttTKZTOj1+lw1em6UmZmJ0WikcuXKuQpk5SR4GjduzJ9//snRg4n8tieubP4CygGdp4KXvxabp4ZUjZUYcxZnDZlcNBiR/wAIcXs+OoVHfNLo9dsKguLOqx2OKIJ/JniUSlWoOfhfKkYkhBBCdR07gJ+v2lEUiiR4yrfSTvDIFi1RLB9++CGzZs0iLi4Of39/hg8fzuuvv45Wq+Xw4cMkJyfTr18/jhw5woYNG/i6gyn7AAAgAElEQVT3v/9NpUqV2L9/Pw888ECe+VJSUgAYPnw4H330UZ7jkydPZsqUKZw7d+7WW7RSZavSjSxmO5bE7E5dnkAddNQhEA99EN7+Hti8NKRrbMRazJzPyORsegZ2yfwI4ZTdYt2PjXeNolv7LPocXkfohSNqhyWKQesXePuThBBCVGwZGeUuwSPErUiCRxRLv379WLp0KRMmTODFF18kMDCQ9evXM3bsWCpVqsSSJUsYOXIk9evXx2Qy4evrS8+ePfNN7gDExMQAFLrl+j+lp0kR4oKwWhwYkrL/rjyAWmiphT+dPQPw9vfA4a3BoNiIs5o5n2EkKj0Dq2R+hBuz2BxsS/LkhzqDad9iMOHSYr3cUvz81Q5BCCGE2ipoJy3hviTBI4qlfv36HDt2DICff/6Zd999l/379/Pqq6/y3nvv8dNPP+Hh4UFqaipnzpxhzZo1fPDBB8yaNQt//7y/XJ8+fRqAO++8E6vVytmzZ3MdT0hIACAqKirP9fXq1cPLK7sjSnqqJHiKw2ZzkJGS/XeoANXRUh0/HvTwR+/vAXoNGYqNeJuFC5lGzqQZyLJJ4ke4DwewLwn2Ve3NveF9GCAt1ssdxVcSPEII4fYyJcEjKhZJ8IhiiYqK4ptvvuHLL7/k9OnTdOrUicOHD9OkSROmTp3K1KlTad++Pbt370aj0fDss88ybdo0pkyZwty5c/PMd/DgQQBatmxJQkICTZo0yfe+bdq0yTN27Ngx537GitJFy9XY7Q4yUi2Qmv06GIVgfGmr9cUn0AP0CkYPO9etFi4ajZxOM5BptasbtBCl7EiyjSM5LdZTDtN67yppsV4OKHpZki+EEG7PZFI7AiFKlCR4RLFERkby9ttv06ZNG7Zs2ULv3r05ePAgbdu25cqVK2zbtg29Xk+HDh24dOkSXbt25eWXX2bOnDlUq1aN1157zVksGWD79u00aNCAGjVqkJycDMCyZcsYMmTITWNYvnw5Q4cOda7eMWZasVplNUlZctghI80Kadmvq6ChCj601vigr+SB4qNg1DpItFu4ZDRyKtVAutWmbtBClLCoVAuzNHdRo/ccBpjP0mHvcmmx7sK0kuARQghhkk6zomIpXz3hhMsZPHgw58+f57fffiMsLIyIiAjatGlDo0aNOHr0KN26dXMmcAwGAwDvvvsubdq04Y033qBXr16cPHkSgL179/LXX3/Rp08fAGfCpqA8PT2z7yP1d1yGwwGZ6VYMcWZs1ywExcI9qXqepBpjA2syrkZtRtYO44mwUB6oGkQlT53aIQtRbNcMFhaa6zDqoffY9Mi/yQiopnZIIh+Kt4/aIQghhFBblqzgERWLrOARxWIwGNi7dy9Dhgxh9+7dNG/enB07dtClSxcgu4X52rVrAZzt/Ly9vdm+fTsDBgxg+/bt9OzZk//7v//j5ZdfBiAiIgIAmy17hcfQoUMZOnTobWNxOLJX7aSnS4KnPDBm2CAj+99xANAMb5rhjXeAFg/f/2fvvsOkKs8+jn9PnbKVpSOIYKGIYgVUVCwIErvyRiyxJMRCNDEBNVFjIcFGYiRGY4kmBg0qWCA2FBvYRQUsIDXS29ZpZ057/zizwy67i+yyyxbuz3XtRWbmzJln4paZ39zPfWukDZ8S32GNlWJxeZzNKdl2J1qXkpTDP+nIs4NvYFS0nFEyYr1FUUOR5l6CEEKI5malwfNAlboH0TZIwCN2ydixY5k2bRq9evXiX//6FxdddBGqqlJcXMyIESNYsWIFxcXFnHLKKQwZMiR7v8LCQmbPns2dd97JGWecgaqqJBIJjjjiCI444ggA0ungDf2kSZM4++yz61zDCy+8wO9+9zssKyixjEvA06qlEi4kguAnB+hDiD6ECOVqGLkatulT6jusTVssKY+zPimltaJlS9ge08tyeWnAVZx0dJozvnxORqy3AKoZbu4lCCGEaAmsNETkb0Jr5DgOqVSK3Nzc5l5KiyEBj9gljz76KCNHjuSCCy7AMLZtrykqKqJ9+/YYhsFPf/pTLrnkkmq9dgB0XeeWW27JXn7llVdYuXJl9nJlwNO1a1f69u1b5xq6du1a7fiYBDxtkpVysVJB8BMB9sNkP0zMHBUzV8cJ+ZThss5KsTSW4Pu4lNyKlsV2fV4rMXhdRqy3CJohL+aFEEIQbNOSgKdVeuCBB5g6dSqTJ0/ODvvRdR1N01BVFU3TatzH8zw8z8NxHDRNo3///tnbRo8eTbdu3bjrrruIRGpW+l533XX069ePSy65pN7tRHYXxa/c1yJEC+N5HsXFxeTl5dXrB+iN/65hxdLyJlyZaA0MUyWUq+GGFMoVlw22xbJYghUVCeSXnmgpDmmnyYj13UTr2AV384bs5a5jb0I3pQ+PEELs8Q47BLp0bu5V7LSvv/462/piT3fffffxpz/9iXQ6za9//Wv+/ve/k0gkdvr+ffv25b333gNg/fr1DBw4kPPOO48HH3ywxrEbN27koIMO4qijjuKll15q8Jo3bdqUnfzcFKSCRzSJb775BsdxOPjggxt8DlVVWblyJaWlpQwfPnyn7ycVPALATnvYxcGIdgPogU4P8hkeLiCcp+OFFSoUlw1OmhWxBEsr4niS/IjdrHLE+n5nHs+5MmJ9t1I1s7mXIIQQoiVoY6PSO376eXMvYYc2H3lYo53ruuuu46STTuLyyy9n8ODBnHTSSei6jq7rqKrKddddR1FREbfeeiuPPPIIc+bMYdq0aXieh+u6qFV6L7355psAXHLJJbU+1oIFCwA477zzGm39TUECHtHoXn/9dUaOHMm5557L9OnTd+lct9xyC59++ilbt27d6ftIwCN2xHF8YiXB94gG7IXGXuQxzMwnnKdDWKFC89hkW6yIJ/muIo4jyY9oYstkxPruZZiomrwEEkIIAVjSz7E1O/jgg5k7d26tW6qi0Sj5+fn069ePoqIiDMOotiWrqhdffJEuXbpQVFTE0qVLs9drmkbv3r2ZO3cuAD179qx2e6VIJEL37t0b6Vk1nLy6EQ0Si8WyY8+3N2DAADp06MBrr73G999/nx1fvr2CgoJafxCrCofD9dqe5Xk+yYR8+i3qz3V94qVB8KMCXdDoQi5D9VwieQZEFOKax2YnzapEkiXlcVKu17yLFm3OupjNA/TkqeMncqa2npPn/Yto2abmXlabo+XlN/cShBBCtBQpCXhao3Q6zZYtW+jWrVv2PWUikWDt2rXZY5LJJLFYjKVLl1JaWopt29XCme7duxOJRFiyZEk2wDnmmGOqPc7IkSN58skns1u56qrgufrqq7ntttsa8yk2iAQ8okH+/Oc/c+utt/7gcT179qzztqlTp2ZHotelskHWzkolXaSrlGhMngfxMhvKgssdUelIDoPUHCIFOmpEJaF7bHFsViWTLC6PkXAk+BG7JjtifdD1/CinnFM/lBHrjUnNlYBHCCFEhgQ8rdKECRN46aWXGDduHOPGjSMajbJw4ULOOOOMGsdWbr+C6gHOq6++yuGHH87kyZMpKChg/vz55OcHrxFmzJjBVVddxQUXXMCSJUv49ttvmThxIldccUW1c99xxx088MADLWbr1s6/cxaiimg0aEy5YMECSkpK6vU1a9YsgGrVO4ZhoChKja/nn3+etWvX1nqboigsWrSo2rqkekfsLr4PiXKH2MY03lqHoo0Kh5VHuVDpxDWF3fnVXntz5d49OK97Fwa1LyBfr9nFX4gfkrA9nivN5YoBV/HIOX9kQ69DmntJbYIEPEIIIbKsttWDZ08xYsQIOnTowL333stRRx3FihUrsjtHZs6cyaZNmxg4cCAXXXQRmzZt4pprrqFHjx5s2rSJF154AQDTNPnyyy+ZOXMmV1xxRTbcAXj66adp3749J510Es8++yyqqtYaHr311lt07dqVAQMG7J4n/gOkgkc0SOXI8/z8fPLz80kkEkQikVpH0QG4rksqlSIUCpGbmwtA1QFupmnSp0+fGj17fvnLX7JgwQLeeeedatc/+eST3HnnnTW2b0nAI5qb63p8v2oFKAodirpTqCgUEuFgIkQKNLQcDUv3KfZtVictFpfHKE7bpEs3YRR0zP5sCVGV7fq8Viwj1huLGs1t7iUIIYRoKaSCp1UaNWoUw4YN4/bbb8eyLHr37s3ChQuzt3uex+rVqzn55JPrPIemaey1115cfPHFXHnllUycOJG1a9fy0EMPcemllxKLxSgtLeWJJ55g6NChdO3alVGjRpFMJpkxYwb5+fkMGTKEjh077o6nvFMk4BENUnX83Pfff0+vXr126n5vvPEGXbp04cwzz6R9+/bZ6w3DIBwO07dv32rH5+Xloet6jesrRwPqevVv4WTCrdfzEKLSu+9P4z8zJvL3P3/d4HPM+2g6L7x8H/F4KQCFBZ35v7Nu5LCBpwBQvKWUR//8G1Z9v4hRw6/g5GGX0p8QZg7cP/UOrrrxYcoUjzVWiiXlcTal0o3y3ETb4QPzimFeh1EccvbpnL1uLgd9LCPW60uN5DT3EoQQQrQUjhN86fLWuLWJRqPcfffduG7wHrDqB6Vz5syhuLiYI444AgjeN5aUlFBcXJw9RtM0ioqKmDx5MgAffvghGzduRFEUTj/9dCAYIBQOh7PTtUpKSti8eTNFRUUA3HXXXU3/ROtBvotFg9xyyy3ccsstADiOw4oVK4hEIixdupSLL76Y0tJSnnvuOQ499FAgqOBJJpO0a9eOgoICXnyx+huS+vTZ2dH9kkmp4BH199mXrzHt+T/u0jm+WPgGU5+9lROGXshRg84imaxgxqzJPPbvCdzcuTfduuzHB5+8wNr133Hc0T/m+f/+mSFHnkVuTiEffPQqB/U9EWeDSw7QhxB9CBHKVTFydWzTp9R3WZdOsbQizpqEfNIkMiPWI5kR62VfcsR7T8mI9Z2kScAjhBCiKsuSgKeVisVimKZZrXdrPB7nhhtuoFOnTgwdOhSAY489lr/97W/VCge2fy9pGEZ2t0mlESNGsGDBguxOleLiYtLplvshrHwXi12m6zpdu3bl97//PZMnT8b3faZOncrw4cOrHVdWVsbxxx/PL37xC372s59Vu01RFObPn1/n9pSd3bYiW7REfXiex8zX/srst/5Bfl4HysobNq3I81xmzJzMIQedzI/P+V32+p+c/wf+MPkcFn71Nt267MeGTSvZv/cR/OiUq3htzqNs3vI9uTmFfDx/Fj+/9C81zmulPKxMFU8E2BeTfTExoiqhPB0nBOU4rEtbLKuIsyoue8j3RMvKbO7mQBmxXg9qJNrcSxBCCNGSpCzIkfC/NXrmmWeYOnUqf//737PvGS3LYtiwYQwZMiTb0mPo0KF8/fXXbN68mfnz53PNNdfUOJeiKLUWHhiGAcDmzZspKSkBYPXq1fTo0aOpnlaDScAjGsz3fT777DOeeeYZnnzySRKJBJ06dWLr1q2MGzeO/v37Zyt4Vq9ezRlnnMGCBQt4/vnnGT16NAUFBdXOp2kaBxxwADNmzMj+cFb24Bk+fDhz5szhrbfeArb14NmebNES9bFu/XfM+/A5rrzsfj5f+AYfffpSg87jeS4XjL6VTh2rT43TtOBXbOX3s+e5aJqOqgafALiew7fffch+vQ7D0M2dfjw77WFvDYIfE9gHg30oxIiohPI03JBCheKy3rZYFkuwoiKBDJdr+6qNWNfXc/JcGbFeF9WM/PBBQggh9hwp+ZCstXruuef45ptviMfj2SE+RUVF/PnPf65xbEFBAQUFBWzcuLFBj1X5XhRg9uzZ/PSnP23YopuQBDyiQe677z7uvvtuNm7cSF5eHj//+c+54YYb+Oyzzxg1ahRlZWWceeaZfPnll7zwwgtMmDCBdu3a8cEHH3DUUUfVOJ9t27iuy/jx4+nXr1/2+soePB07diQSiWRL6ip78GwvaS8nUliKqobBM/E9E9cxcW0dO61LA1tRTbvCLtx6w0zycov4fOEbDT6Prpv073N0tes8z+W1Nx9FVXUG9D8egMKCTiz8+m2WrvgsuJzfief/+ycu/r87Gv4kqrBtD7s4GNGuAz3Q6UE+w8MFhPN0vHAQ/Gyy0yxPJFlWHsfxJfppa7YfsT7yo6dot2F5cy+rRVHNcHMvQQghREvSgrfciLp9/PHHfP7555x22mkcdthhfPPNNwC1TrtqiI8++oghQ4ZkL8+ZM4dQKESvXr146KGHOP/888lpYZVfEvCIeisvL2fkyJE89thjjB8/nrFjx1JQUMCMGTO45ppraNeuHaNHj+Yf//gHvXv3JpVKkZOTw4gRIxg8eDCpVArbtsnLy8ue07IsFEVh9OjRxONxwuFwtYlclWPRt5dKpbAsK1t6t/J/i/j+++9rXbeqqkQiUSLhCKFwFNOIYOhhNC2MpoQBE7wQnmvgOgZ22sD3GtYbSLQOOTmFjX7OVCrOy7MfYtG377K1eB2XjPkje3XdH4AjD/sR78x7mr889FMO6n88yVQFHYq6E4nk4Thp9HpU8dSH4/jESmwANKArGl3J5Xgzj3CeDmGFuOqx0bFYmUixpDyG7Unw09pVjlh/of+VnHx0mjO+eI4uK79s7mW1CJohAY8QQogqbLu5VyAaYPLkySiKwm9+8xtg25Tmq6++mn322afO+y1fvpyHH3642lTnqmzbZvz48cyePZuvvvoKTdP47rvvmDVrFpdffjkjRozgvPPO4/bbb+eee+5p9Oe1KyTgEfV28MEH87///Q+ACRMmMGHChBrHPPLII0DQdweCAOehhx7ioYceAmDfffdl2bJlAJSWlpJOp4lEIqxdu5bTTz89e1ulyhK77UOefv36cdNNN/GHP/wBqD7da3ue5xGPx4jHYzv9XEOhEJFwlHA4immGMY0IuhaEQgoh8IMqIc8xsW0dR6qE9niua7N+43JKyzahqRqp1Lbvty6dejHxptfYvOV79u5+IP+adhPHH30+f5h8Dhs2ruDs037NScf/ZDeu1Sdeuu0FTWc0OpPDUXoO0TwdwioJzWOzm2ZVIsWSihhJx9tt6xONw/Gqj1g/a+mr9F70dnMvq1mpRtOEqUIIIVopW/p4tjazZs3i3XffZfjw4Rx44IFA8H4PYOTIkdUqb7b3/vvv8/DDD2ePr+Q4DhUVFZxzzjl8+eWX3HvvvWiaRiwWY+zYsXTp0oUJEyZQWFjIhRdeyD//+U969uzJuHHjmu6J1pMEPKLexo0bx9atW/nmm294//33KS4upn379owZM4aOHTvyzjvv8O6777L33nuzatUqAE488UTeffddBg0axLBhw6pV7zzwwAMAJJPJatuzdsb06dMZPHhw9vLh+4Yobt+O0oRDSYVNSbmFuwuVCJZlYVkWlJXs1PHZKqFIlFAokq0S0rUwihIKQqFMlZBjB19SJdS25OQU8ouxD5FMVjD1udv4z4yJtCvswsEHDgMgGsmnZ48BbClei6GZfLHwDXzf50cjrub5//6JYwafSzjcvKWevgfxMgeCfJYOqHQgypFKlEg7HTWqktQ9trgO3yeTfFsWI+ZI/6uWLjtivf2pDDz7NM7Zg0esq5oEPEIIIaqQCp5Wpbi4mOuvvx6gWrPkysBmZ7doVY5Xh22Tobds2UIymeTFF1/k8MMPZ9OmTVx88cUsX76c6dOnU1gY7ACYNGkS3377LbfffjsbNmzgpptuIhxu/gphCXhEvU2YMIGnn36ae+65hyOOOIJEIsH555/PpZdeypVXXsmaNWt4/fXXiUQi2bF0v//973n55Ze59957OfPMM7M/kCUlJdnqnJycHGKx6tU1hx9+OJ9//jljxozhk08+oWPHjvTt25cnnniixrp83+PY9vOhfdVAR8HXwvhqBFeNYPsh0p6B5ekkbZVkWiVmQUXSozzhUhp3KKlIU1qRblAw1OAqoUiUcChCKBQNAiE9jKqGUatUCbmOiWPruLZR73WJ3S8SyePC0bfyxcI3+OTz/2YDnkpz3n2Sk47/CTNmTaZ/n2M44dgLeemV+9m4eRU9exzYPIv+Ab4PiQoHKoLL7YB2RBhIhEihjhZVSek+Wz2b1akU35bFKJNPxFqkBSUuC/bQEeuKGULV5OWPEEKIKtpQwLP5yMOaewlNrqioiMsvv5w5c+ZUq9RxnOC1zEMPPcTBBx9c5/0///xzrrnmmmoBT0VF8AK3Z8+eTJ8+nZ49ezJr1ix+97vfsXXrVh599NFqjxWJRJg2bRoXXnghDz/8MG+++SYvv/wyRUVFjf1060Ve4YgGueCCCzj66KPZZ599OP7443nqqaeyjaZefvllOnXqxAcffAAEY9QHDRrE4MGDeffdd7nxxht5++23ue+++/jLX/5COp3miCOOyP5AVrV69Wp0Xadbt24AnHbaaUyePJkpU6Zkq4DGjx/PIYccwuizR6HVmBXko7hJFDeJChhAdjiuRjB7OgLUaMUSBEOeGsVVwjiESHsmKVcj5WjELYW45VOR8imPu5TGbEpiNqUVFvXNhbJVQuxclZCmaUQiEcLhKOFQFMMIYxgRNDWEqoRRfBP8EK5r4NpBKCRVQk2rpHQDb82dyrFDRlebpBWN5KOqGq5T/UVDLF5KLFZMl869SdspDCOEaQRd/9N265zikIw5kMk1C4ACwgwgTDhfQ8/RsAyfYt9hTSro8bPFajsvpFqzPXHEupqb39xLEEII0dLU8j5EtGwTJkxgzJgx1a6zM0HdXnvtxf7771/nfTdtCqaMpqs0127Xrh2PP/44Xbt2pWfP4PX85s2bcRyHp556ihNOOKHGeQoLC5kxYwY333wzP/rRj5o93AEJeEQDxWIx5s6dy6WXXsp7770HBH13xo4dCwQNrqZOnQrAcccdlx1Z9/rrr3POOefw+uuvc/LJJ5NIJLjpppv4+uuvs9u5Kr333nts3ryZcDicbYB1xRVXcNdddzFp0qTsmPRnn32Whx9+mPNO+6YRn2EQDGluEo1gFHW1YCha9YqqFHwtgqdFcQljk6kYcjWStkYirRCzfCqSPuVxh9K4Q3G5RVncZmeHGbmuSywWq1HttCPZKqFwlJAZwTAi6FoITa3sJRTC8ww8qRJqkEgkj3fm/YdNm//HlZdNyfZh+vKrt3CcNPv1Prza8e/Me5phQy8AIGRGSNsprHQic7nWb6xWK5VwIRF8OpIH9CNEP0KE8jTMXI204VPiO6y1LL6riLE+KVMsmkP1EesbOHnuP9vsiHU1TwIeIYQQ22lDFTx7ku7du1e7PGTIkGx4syPHHHNMrcdt37fn8ssv58c//vEOJ2WFw2EmT568kytuehLwiAYZO3Ys06ZNo1evXvzjH//gt7/9LR9++CHnnnsuI0aMYMWKFRQXFwNwww03ZO9XWFjI7NmzufPOOznjjDOwLItDDz2Uyy67rNr5HcdhwoQJ5OTkEI/H+e9//0tZWRnTp0/nmGOOyXZM37BhA6tXr+ayyy4jpLk0fxcQH8VNoLmJbDCU/XWgZ76iBHtbqlHwtSieFqkWDKWcYCtZwlaIpfzMVjKP0phNcYVF+U4GQ7taJWQaEfTMxDE100vI9ww81wyqhNI6vt82q4TWrFvC2nXf0a/PUeTndaj1mHAohzNPvYbpM+/lzw9exuEDT6G8Yitz3v0X3bv14ZjB52aPTaeTrF67mNNGXA3AXl0P4NPPX8HzXAw9ROcqFUBtmZV0sZLBT2wU2B+T/SnCzFUxc3UcE0pxWGelWBqLszpuNe+C9xDBiPUOPDvoekZFyzn147Y3Yl3Nyfvhg4QQQuxZJOARdWhpY9B/iAQ8okEeffRRRo4cyQUXXIBhGJSUlHD99ddz9dVX0759e1RVZfHixfTt25fhw4dXu6+u69xyyy07PP8111zDJ598whNPPMHTTz/N+++/TyqV4uabb8b3fXzf56677qKoqIiTTjqJ22+/Hd/d+YqWlsdHceNobrxmMGSw3d6yqlR8PYqnRnCUMI5vYmWCoZStEk8HwVAs5VGa2UpWXJ6mIrHjP2INrxLKIRyOVKkSCqMpIRQljF85ccw2cBwD127+Xz/rNizj+Vl/YvnKL3CcoHLE8zxUdVtY9cXCN3l59oNcd/UTdQY8ACcPu5S8vA5Mf+kepj0/iQ5Fe3Hs0T/m1JN/TjicQzJZwaNP/oZlKz/nyENHZe93wtALee+DZ/jos5lcMPr3hEJtq4KnvtIpj3Qq+G8RBnpj0hsTI6oSytNwTYUyxWF92mJZLMGqWLLGxkyx6xK2x/SyXF7MjFg//cvpdF3xRXMvq1Go0dzmXoIQQoiWRnoGijZC8esa/i5EPdi2zYABAwD46KOPmDBhAo8//jjz5s3j6KOP/sH7X3TRRaxatYq5c+dy2223cccdd3D11Vfzt7/9DQj67Lz44ovZ8elLlixh0KBBRKNRHn74Yc444wy8LZ/hffPXpnuSbYmiBVvJ1CgOoaBiyNVJuUHFUGWPofKkR1k2GLKIJRvvj19QJRQlHI5keglFMIwwmhpCU8JAKAiEKnsJNXKV0MZNq7hnygX4vs/Jwy7BcdLMfvsJTh52KWeN+mWDzvnGO/9kxsx7KWrXjUm3vFHttjnvPsnstx/nqCPPYvbbj3PP7e+Rm1PIZ1+8SsqKM3TIeY3xtPY4uq4QztfxQgrlissGO82KeIJlFfF698MSdVOAY4po1SPWtY5dcDdvIPe4kbQ76NjmXo4QQohG5APoGr6m4mkKrgaO6uGoLrbikFbSpLGwSJHykyT8OEkvRtyrIOGVEXPLuGTYVHS15U9Z/Prrr+nUqVNzL0M00KZNm7Jj3ZtC83+ELtoEwzCYNm0aQ4cOZciQIXz33XeMHz9+p8KdSo7jcN555/H8889z5plncu211/LZZ59hmibFxcXYts3ixYtxXRdVVZkzZw6jRo3iV7/6FYMGDaITrbM5bbPwXRQnhkYMDQhVva2yYqi2D7kVDV+L4qoRXM+CRiwAACAASURBVCWM7ZtYrkHK1UimVRJphYrMVrKyeGZUfSxNvJZgKKgSqiAWq9jpZYdDYSLRYAR9yAwaTOta5cSxoLm055p4TjCC3nXq/hU3feY9JFNxbvzVNPbu3g+AgvxOPPPCJIYOPpcO7bvXed/t2bbFf2ZM5JPPXyYvt/bmahs2rWT/3kfwo1Ou4rU5j7J5y/fk5hTy8fxZ/PzSv+z0Y4nqHMcnVhxUpOlAdzS6k8cJZj7hPB0/rBBTXTY6aVbEkyytiONI8lNvNUesz+Ogj19o7mU1iBppXaXWQgjR1vmKArqGpynBl+rjaD624mTDGYtUNpxJ+nHiXoyEV07cLSPmlhJ3y0HxwSP4asCOK9tJopstP+ARYkck4BGN5pBDDuH000/nmWeeQdM0zjrrrHrdX9d1xo0bR0FBAY888gjjx4/n/vvvr3ZMv37BG/HBgwfz0UcfMW/ePBRFoUuXLnhrFzXacxF18F0UpwKdCnSCYCibA5mZr1qDIT0bDDlKCNszMz2GtGzFUBAMuZQlXEorbLaWWySt6l2VUlaKlLXzQV5llVAkEjSXNs2gl5BteXyzZB6HHjKEvgd2wXfjOGmDoUPO5vn//okvF73JycMu3enH+XrJ+yxe+jG/vvqfvPDyfWwtXlvjGM9z0TQdVdUAcD2Hb7/7kP16HUZFxVbaFXbJNmcWu851feKlwas7FeiKRldyOVbPI5KnQ0Qhrrpscm1WJpJ8Vx7DciX42RnBiPWj2O/M4zin7EuObGUj1tVQpLmXIIQQbYavqqCreJqKp4Gr+jiqh6062IpNtm7GT5IiQdJPkPAqiHvlxJwgnEn5mZYAbuarIRrhJVTaTRChYNdPJEQzkoBHNIo1a9bws5/9jNdff50LL7yQjz/+mGHDhnHDDTfw61//eqdHxp144omceOKJAEyaNImJEydimia//e1vmTlzJkuXLsV13exIuwMOOGDbnV2p4GmxfAfFKUenHJ2gtwoQ/DGuDIZq6XvqK0b1rWS+ieXp2ebTcQsqUh4VST9TMZSmuDxNKh28OqirSmjdunW4rothutz2x5+wdu1adF1n4MCBdOxQxLLv32CosjemGcE0gubS2yaOmfiuiesY2LaB5+j07N6f31//IuFQUBng+x43/3Ek+/U+jEvHTAIgJ1rAex88w69vOgqAwvxOPP/fP3Hhebfy+FM3Mu5nD0rAsxt4nk+8zIay4HInVDqRwxAth0iBjhJRSWoem12bVckkS8pjJByveRfdQi0rs7mHA+maGbF+bCsZsS4BjxBCBHxNxdc0fF3BVcHVfBzFzYYzFkHlTIokKT9Bwo+RcIPKmZhXSswpJe2ngjJPJ/PViqWdRHMvQYhdJgGP2CULFixgypQpTJ06lby8PJ5++mnGjBlDLBbj+uuvZ9KkSdx3331cdNFFjB49muOOOw6zltJHz/PYvh1UNBqtdrvruiiKgq7r6HrNb11fAp42R/FtFMdGrRIM5cHOBUN6FE+JVAmGDJKORjKt8Mb7W/g3sODLL1AUhZOGHU1FPM0HH35EQUEBmzdvZv2GNTu1Rl3XiUQiOEYUW4+gqOUkkiVYlkXfvn3IabcJ3zMwQx5WOpH9Pt9aso4ORd359rsPGXjgsGqNncXu53uQKHegPLjcHoX2RDlCiRJpp6NGVZKaz1bP5n/JJEvKYpQ7zT+3ryVYH7P5Gz15OjNi/aR5/yKndGNzL6tOmgQ8QohWzgfQNHxdzWxr2r7fjJ2pm7GqVM3ESHgVxLxy4m4JMacUFyc4mQyQAiDtJpt7CULsMgl4RL29+OKLvP3227z88sssX76cSCTCVVddxa233kq7dsH879zcXB588EHGjh3LbbfdxmOPPcYjjzxCTk4ORx55JCNHjqw2Pt11XRyn7tjftm3sHxhf+H56C1+7ZRiaiaGGMFQTQzUwFD3zr4qhaBio6CiYKOj4QcsZ38t+6Z6D6TkYvo3h2qjIp/etjeLbKHYZKmU1g6EQLIsE4U06nebDh0dx6AHtAfj7Sz7X3vcBRTntuPmsEGnfCHoMZbaSxSyIpXzKEi5lMSfbfLqiooKKiqBKaGvxlsxIeigt28BXi18DYM2GL9l///0ZNGgQU6dO5ZU5dzPq1B/x0N9vxrZtfGMNp444d1uVkGcGfYRsE9fRdu//gSLL9yFR4UCmCKwQKCTCQCJECjS0HI2U7lPs26xOpVhcFqckvWe+Us6OWD9yQosesa4a4R8+SAghmoivKJlwJug346pVwxk702/GqtZvJuFnqmbccuJuKTGnDF/xdqnfjKjJlgoe0QZIwCPqTdM0pkyZQp8+fZg4cSJXXnklHTrUPj760EMP5aWXXmLNmjVMmzaN6dOn8+GHH9borWMYBuFw3S+6LcsildpxhY7lJkg5FaQauTxUUwx0LYSphTLBkYGhmuiKjqnqQYCkqNngyEDJ9Cn2M6GRj+47GJ6LUSU40iQ4ajaVxWJDDuyYDXcALh/Vi+vu/5CSsgTh9KptW8lUgoZDISC/lvOpIXwtwv822/xpcgmRkEH7djkcsFeIi07sRNyChZ+aJCIKwwYdwNSp4HkOr772MpqmMWjQIJ559l907lJAKBSqcf6gSqjqxLEwhh5BU0OoShgwwTNxnWDrWGNPHBO1S8ZdiAdVPPnAgYQ5kDDhfA09RyNt+JT4DmusFIvL42zOjH9v61r6iHVVN5p7CUKIVmpbM+BMvxnNx1U9bMUlrdjYSnZOEyk/EYQzXgVxryLbDDjhZUpFm7nfjKhJKnhEWyABj6i3008/ncWLF9OnT5+dvk/37t0ZP34848ePJ5FIVNt+BTB16tQd3v+xxx7jscce2+Exjmvt9Hrqw/VtXMfGcmKNel5V0TG0cBAaaSFM1URXdQzFwFR1dDRMVUNHzYRG1YMjvbLqyHMywZGD4aYlONoJSStIAXt0rj5NxzQ0csI6nl+/ZruKZ4Gb4orb30BVoX2BgYZNjlJK3/ACCMPhPVLMen81e7tzAZhy5T5c9sf3ueTUA7jtqiPodNJ7nHawRb/9u5ByNBJplZjlE0tCecKlNG5TUlHK+uJNOD/QDFhRFMKhMOFMKBQyI0EgpAVj6IMqoRCea+A5Jk7awHWlSqixpBIuJIJX7TlAH0L0IUQoV8PI1bBNn1LfYW3aYkl5nPXJpvnd1dwcz+e1YoPX9x7DMYeM4cylr7Hvoreae1moes0QVQjR9vmqiq+r+JqKm2kG7KpuNpypnNRU2W8m6W0LZ2JuGTG3BMvPVHjsSjgjWizpwdN6fffdd+yzzz61tgKpry1bttRZvNAaSMAjGqQ+4c72tg93GovdylJ3z3ewnBgWTREchTDUcObfoOIoqDTSMVQtu1VtW2ikVKk4qgyPXAzPDsIj10ZrQ69koqEgzNhYXP17xnU94imHvGj9P+G/75lvePfLjQzoXUhZrGalxvkn9+LBFxZzynVv0K19hA4FYUxDpV3UJ+JuAECLraCTFw8qhsKZr1qGOfhaGF+N4iphHEKkfZOUq5Oyg1H1wVQyj/K4S2mijJKyLZSUW7g7GA9eWSUUCQdj6E0jmDimqWFUJQQE28a8TJWQbekECxU7y0q5WKng5ygC7IfJfpiYOSpmro4T8inDZX3a4ruKON/H20ZfsW0j1kcy8OwfNeuIdcUMZSfZCSFaj8pmwJ6u4GWaAduKi6M6pLFJK0E0Y/lJkn6CpB8LqmYqx2g7pdhYbaYZsGgare29hNjmqquuwjAMXnnllTr7Wg4fPpzOnTv/YGHBqFGj6N69O//5z39qraxv6STgEW2G3UQVPK1NEBw5WDTuNJvqwZFZpceRgaHqQWikaJmwSMVQFHTfxwR03w8Co5YSHGWmVX301Wa+3xhj787BbPdpc1bhuD4hs35vABcsK+aWx77gxosGMG/hploDnj57F7Dk6XP47cPzuWhEb6ZM/5YenXJ4ZOYS7n36KwByIjv3K1lxUyhuChUwCMKCAgAtc6HWHrJKJhiK4KoRbD9E2jOwXJ2ko5JIZ6aSJR3KE6WUxrewZWuakgqL2nIhRVEIhcJEo0EgFDKjGHoYXQujSpVQvaQtj7QVfM+EgH0w2IdCjKhKKFfDDSmUKy4bbItlsQQrKhK01oHu1UesL+DIuU+hubuveYSaJ+NvhdidfABdw9eCZsBB5YyHnWkGbFftN0MqUzUTy1TOBFuaYm4pHq40AxZNzvPaRvKXuvTU5l7CDoX/+Wqjnu+DDz5g0aJFvPDCC6iqSjqdxrIscnJyqoU9juPgujt+37Fo0SJWrVrFueeeWy3cmTZtGtdee22d9xszZkyNFiTNRQIe0WY4ngQ8TanpgiMNXQtjZraq1drjCHVbnyNFwfArt6pVbldzMX0X3XMwPBvTddB28PFcNBT86vPxOW3CHO742aFsKE7yu4c/J2xqhDMBz8LlJSxaXsLJR3Slc1Htk3eSlsNPJs7lsAPac8slAxnxmzfqfFzTUNlckmKvDjmEDBXX8yiL2xzetz0ffrWZru2bcrqPj+ImUdxkNhjK1tJVDYYKt79fEAx5WhSXTMWQZ5JyNVKORtxSiFsWFakU5XGXkphNSUWasli6RjC0fZWQYUQwqlYJ+Sa+H8JzDKkSAuy0h10cbLk0gB7o9CCf4eECwnk6XlihQnHZ4KRZEUuwrCLOD+zeazGCEev96XrqPbt1xLqaW8vYPSFErSr7zVRuafJUH0fzcBSXdJVwJtjStG2MdmXVTIVbStwpA8WXZsCiVfD8tlOtvif5y1/+AsDZZ59d7fqPPvqI3r17Zy/ruo5h7LhK/9FHH6VXr1786le/qnZ9JBK8Rv/rX//KYYcdVu22Y445pkVV+kjAI9qMpurBI5qW57uknTjppgyOVDMIjxQdXTXY3L0LAGedfzjvvPkdo295B4Ae3QspyA/jez5rIp2Z+sF33PfYR7z0wFmc0LEIw02jb1dxdOND81m5PsZbU0ZQGktjOx6u56MA6bTLltIU0bBONKwz+5N1XH7a/tz/3Df8cnR/rpvyCZ3bhVnyfRkAa7ck6dK+abYwNlwQDGluEo1gMn21YCha9YqqFHwtiqdFcAljU6ViyHZJpOPErDgVSY/yuENp3KG43KIsbmebYCuKQjgcJhKOEg5HMc1IlSqhMApmtSohO63juW3/z5rj+MRKgndJGrAXGnuRxzAzn3CeDmGFmOaxybZYmUiypDyOvYPtec2pcsT6U5kR6yc38Yh1NUcCHrFnyDYD1jPNgFUfJ9MM2FZt0gT9ZixSmS1NQb+ZRJV+M0kvs4VcmgGLPYTnSx/L1ubVV1/l3Xff5e677872zbEsC8uy6NixY73OtWbNGmbMmMHjjz9OKBRi4cKFbNiwgVNOOSVbCdS9e3f233//GvfV9Zbz+rPlrESIXeT5baOsUjSOHQVHXq5POEdn+frV/OaxQ1n5TRm+Bz375HPbBe/Te0ABL5TOp8f/Rfnz/53IcspZngimXiiKmu1vZKphnv1wDUnL5agrXqnxOM+8tYpn3lrFFWOHcu0VQxk4sgux0gSr31pLxwP2wfI/Y8yovtx66cHkDPsnycYeAdesfBQ3jubGs8FQtqW1nvmKAu22v5+Kr0WCYEiJYPsKac8h5SRI2ikStkIs5QfBUMLLjKpPUxYPtjhlq4QiUUJmBNOMoGthNC2MQgjFDwW9hFwTx9Zx0m2nSsh1feKlQfCjAJ3R6EwuR+u5RPIMiCjENY/NTppVmeAn5baMF7OlKYd/VRmxPqqJRqxLwCNag6AZsIaf3dLkByO0VScYo822ypmknyDpxYLKGbeMuFdGhVNK2s/0EpF+M0LsNKngaV22bNnChAkTuOCCC7jssst2+Xy33347Q4YMYcSIEUBQrfPSSy/x7LPPomk7bjNQV9+f5iABj2gzJHUXO0vVFA46ugML521m5CW92e/gIGX47M0NpOIOfY5oX+d9fd8j7SZIuwniwJgb+mBbNb/3nrr7G7r1zuWE0XvTvqvL68WfAPD6v1dywKlFPF2+iGLD4pPYZu4vWQHAa2aC7/xEpuLIzPQ3yvQ5UtSgQTZqlQbZ/rbJal5lc+zqU9X0Vvdixas7GDLYbm9ZFYoWBENqBEcBx3ewvCQpJ2g+HU9ngqGUT1ncoTQRBEOxpBNUCUVyMr2EKquEIlV6CRl4big7gr61VQl5HsTLbAgKxeiISkdyGKTmECnQUSMqCd1ji2OzKplkcXmMhNM8v0+TtseMslxe6n8lJx2V5owFjTtiXYvkNtq5hNieD6Bp+HrQb8bTwFG9TOWMja3YmX4zVmZLU5yEX9lvpjy7pckhLc2AhWgGfqt7zbTn8jyPq6++Gs/zuP7663FdF03T8DyPZDKJYRik02kikUid4Yxt26RSKfLy8pg+fTozZ87kjTeCVgsLFixg5syZnHLKKQwbNoxXXqn5QW5L1bpepQqxA74EPKIeThqzDwvmbuaR333JqZfuS0WJxX//sZz8IpPDTugMwLoVMdatiNHn8CLy2tU+drHXgTWa1gCgmyr5RSYHHFaUvS6dclm7vIIRF/cCoGuvHBbM3YzvBccXdlWJp4sb9XkGFUchDC0c/FvZHFs1tk1WU6r0OAJMFPRMjyOzylQ13bMx/aA5tt7SKuZ8F8WJoRFDI2hWXCMYyqnlfooWbCVTYziEgq1krk7K1UnaKnFLIWZBRdKlLO6SdG0qkh4uZjCCPhTF1MPoegRNDaEq4aCXkGfiugaubWaqhFrePgXfh0S5A0FxGkUoFBHlcCVKuFBHy1FJaT5bPZvvUykWl8Uos3fPf3fH83m9xGD23mM4+pAxnNVII9bVSEvbAilaimwz4Ew4E1TNZCpnFIe0UrmpKZjUlPDjJL1gUlPCC/rNxJxSfMWTfjNCtFJSwdN6rF69mmXLlnHUUUcxcODAGrf/7W9/47e//S3l5eXVrl+wYAGdOnXKXtY0jXXr1vH73/8ewzC45pprsCyLLVu20LVrV6ZMmdLkz6WxScAj2gwJeER9dOoeZewfDuY/937LP+9YBED7bhEuuqE/OflBA7aF8zYxe+oqrr730DoDnvpY/FkxQ07tlr183Dk9+N+35Xz25gZGX9uHUKTxp0wFFUdJ0o08+lNBDfoaaeFMaBTaLjjKTFVTVPTtK44yzbErG2QbmeBId22M3R0c+S6KU4FGRTYYyqoMhmor+lB0fC2YSOYqYdKeSdozSLkayXQwrr4is5WsLOGSTGukHB0PM+glZASBkKaGM1VCmRH0roFj6Xhe8/159n1IxhzItN8oAA4izEGECRdo6Dkalu5T7NusTlosLo9RnG6ad7I+8H4xvN9+JAPPPo2z183j4I+fb/D51LAEPG1Rtt+Mluk3o/nBpCZlWzhTs99MpnLGDSY1xd3yoBmw9JsRYo8lAU/r0bNnTz744APWr1/PyJEjmTVrFp999hmTJk3CsiwOP/xw7rzzTgzDyFbw3HHHHRQVFfGLX/wCIFvtoygKl19+ObFYjH79+vHOO+/w0ksv8dRTT1FUFHxQ6/sts5dhbSTgEW2GhwQ8on72Pbgdv31iSLYHT6/+Bejmtj20I3/Sm5E/6b2DM9Ttln8fXeO6g4dWb/aWW2By1T2HNuj8zc2n6YIjXQtlehyF0FUTM1N1pCsapqqjo2FmgyMwFCUTGgVfuu9kAqSg2sjwmiA48h0UpwKdCnS2C4bMzFedwVAUV40EFUN+JhhyNBK2RsKCipRPIq2QtA1Sjk7SNvCVUNBLSA2jKiYQwndNPNfA2Y1VQqm4C/HgBXAe0J8Q/QkRztPQczXShk+J77DGSrGkPM6mVLrRHntBicOCyBD2PfNYzilbwKAGjFhXzaacVCcawldV0NVt4Uy2GXCm30zlpCY/SYoECS+e3dIUhDNlpHxpBiyE2HWyRat1CYfD9OrVi169erF48WK+/vprzjrrrOztVSdoAUyZMoXOnTtz+umn1zjX+PHjAVi2bBk33ngjN954I4MHD87e7nk7fp/pOC2nsl0CHtFmyC9l0RCarmZ78Ijm5+Nhu0lsN0miEc9bNTiquVXNqFZxZKBkQqNM1VGm4kjHy/Q3cjFcB8NLo3sOSn3eGPoOilOOTjk6EN62wG3BUC19gH3FwNejeMq2YMjy9EwApBK3IOUYWK5ByjFJ2jqJtIlPCFUJegn5XmbrmG3gpA08r/EqxlJJF5LB7+AcoA8h+hAilKti5Oo4JpTisNZKsbQizppEw6ceLi+zuZf+dBl5D+fYyzlu7r8wkxU7dV8tFP7hg8RO8zUVX9PwdQVXDSpnsluasEkrVpUx2sEI7YQbhDMxt4y4U0qalPSbEUK0CNLPs3VZsGABy5cvxzAMli1bRjKZZNasWbiuSyKR4IILLqjX+TZu3MjFF1/MkUceyTXXXFPttmQy+EBz+1HslSyr5UxzloBHtBmyRUsIUZeqwVHjUjKhUTjzb109jjINshUw/KDHkVlncGSje3a14EjxbRS7DJWybDCUFzz8tmCotuetmkHz6UwwlM5UDCUdjZSjkXZDWK5JyjZJOibJtEkybeB6IcDE90J4jt7gKiEr5WFlqnjCwL6Y7IuJEVUJ5ek4ISjHYV3aYllFnFXx1E6fe0Pc5kH25unjb9/pEeuqEdrh7XuKbL8ZLdNvRgNX9ar0m7Gz/Way4UxmS1PMKyfulhBzSnFxgpNJrxkhRBsgW7Ral1deeYX77ruv2nU//elPs/+7PgHP/PnzGTt2LGvXruXMM8/k7rvvZuPGjaxdu5Yrr7ySkSNH8v7779d5//z8/Po/gSYiAY9oMyR1F0Lsfj62m8J2U438JrdqcFSlx5FiYKjVgyMdJdiy5gc9jkzfDxpj46F7LqbnYLgV6N5W8iqDI4VtPYZqe1aqGWwly1YMGViege2FsNwQaTdEygmRckwS6SAYSlgmjmPieWbQXNrW8dw6JlekPeytQfBjAvtgsA+FGBGVUJ6GG1KoUFzW2xbLYglWxhJ4dWx/rzZiPaeCUz9+iqL1y2o9VtVbf8DjK0qVSU3gquCobnZSU+WWpqDfTNVJTeXE3HLibikxp0yaAQshxHYk4GldrrvuOn7zm99gmiYTJ07kxRdfZP78+XieRzwer9e5XNdlzZo1QNCguXv37nTt2pV27dqx//77k5+fT35+fnZaVyXHcdD1lhWptKzVCLFLJOARQrQVTRcc6aqJqVWtODKrVRzpioqZnaqmYGBjkA62quET8l1yPRfTCyarBb2O0igK+GooEwyFs1PJbD+M7YWx3DBWZTCUDhG3QiQsk1jSwHFCOGkD29axi4Pf5TrQA50e5HNyqIBIno4XVogpLhvtNMsTSZaVx3EyjQ+TtseM0hxe6ncFJx1lc/qCGXRbPr/as1f1XW+WvitqawbsZJsB29iV/WZIZbY0xUl65cS9CuJuOTG3lISXmQgi/WaEEKJRSbuH1iUcrn3btaoG/TSTySSRyM713hs0aBCPP/44AwYMYO+9986eo6qvvvqKa6+9lilTpjBgwADWrFnDpZdeytlnn824ceMa/kQamQQ8os2QCh4hhPghPo5n4XhWkwVHuhfC1Ez0TMWRqRnoetDjyMxUHBmodKicqgZoqKiejoqO6puofgjfM8ALYXthUnaYpB0imQ4TT5l09kL08kyGhTsSyglBWCGuemx0LFYmUrxVGmN2jx9z9MAfbxuxrmmoasP7Dvmqiq+r+Jqa2dLkZypn3MyWpspNTcGWpqQXJ+5XkHDLiXllVDglpP3MFsFdCWeEEEI0CangaRuWLFnCZZddxl133cVxxx230/c77bTTql32fZ+lS5fi+z49e/Zk3LhxLFu2jK1btwJQVFSEbdtMnDiRgQMHMnTo0EZ9Hg0lAY9oM6QHjxBCNJcqwVEj09VMc+xIGCO3strIpFDVyXQ2QiNEJz9Mbz/EUV4Y3w0qhxJuiGU9jmH1UUdy0NoldIqaeJlmwLbi4qjb9ZvxM+GMHwuqZjKTmiqcEhzS0gxYCCHaMAl4Wq/KKVbPPfccEyZMIBqNUlBQsNP3LysrY+XKlaxcuZIlS5awcOFC5s+fT0lJCffffz9//etf+fbbb5kyZQrHH388ANFolH/84x8MHz6cq666ivfee4927Zp/cIsEPKLNkIBHCCHansrgKEl5w06gQEUUtrQ/gXn6J3xjv49l1W9vvhBCiLavrQQ84X++2txL2O1WrVrFmjVrGDduHMceeywPPvggnTt3rnaM79fRzI+gIfOnn34KBMHN4MGDGTt2LIceeiivvPIKzz77LDfffDPnn39+tfvtt99+TJo0iV/+8pfceOONPPzww43/5Oqp5uYyIVop2aIlhBCiNp3dLoRX67z1Whln5RzJXnn7NfeShBBCtDDSg6d18jyPDz/8EN/3ueKKK3j22WdrhDsQjDK37dr3p//qV7/iZz/7GS+++CJLly7lmWeeYfz48XzxxRf8+9//5pe//CXXXnttrfcdM2YMp59+OrNmzWLRokWN+twaQip4hBBCCNGmHf1VR5aGckk7pUx722XccVE+LxrEJyXz28wntkIIIcSeSFVV7rjjDr7//nuuv/76Oo+zLItUKlXrbcOHD2f48OE1rh87dizRaJSrr756h2u48847ueqqqzjooIPqt/gmIAGPaDM0VcORIh4hhBBVDHAHos39gNio4EXXppIU0xd14v/6r6RH/sHMttZSltrUzKsUQgjR3DTFaO4liAbafutUbT755JN6n7egoOAHwx2ATp060alTp3qfvynIFi3RZqjyS1kIIUQVKhoDPk6D4xBXt32mtWhFGfM29KFLagvnK7n0LRzYjKsUQgjREmiqvJcQrZ8EPKLN0FQpSBNCCLHNMOt4nE8/BkUh4VYv8Xz9s82ssA/C9NIMT25lRNFgTC3aTCsVQgjR3CTgEW2BBDyizVDll7IQQoiMQr0Tnd9Z3jLyRQAAIABJREFUBr6P1WlfUulkjWMef2MzZUYfAA6Ir+X86D50ze29u5cqhBCiBdBUs7mXsNN2NBFKtFy747+bBDyizdAUqeARQggROGHrkdjfBtMskt37k0olaj3ugdfi2GY3AArS5ZyTthlUdCSKIi+RhBBiT9JaKng0TcN1ZUBAa+S6LpqmNeljyKsX0WbIFi0hhBAA+4cPJfTmh9nLqaLeJOKxWo9NWi6Pzgvj6fkAqIrP4Ph6zik4hLxQh92yXiGEEM2vtQQ8+fn5dU6DEi1bKpUiPz+/SR9DAh7RZkiTZSGEEABHrtoLZ/XK7OVETidSVt0vhtdtSfLi4u74Vf6OdEtuYoxWwAGFzT/yVAghRNNrLQFP+/btsSyLWCyG4ziyXauF830fx3GIxWJYlkX79u2b9PGk5EG0GZratOVuQgghWr6hkdNw33ij2nVJM/SD9/v8uxL2at+fwe0WZK8LuRYjkhZ7Fw3i3bJF2G7NPj5CCCHahtYS8IRCIXr16sXWrVspKyuT7VqtgKZp5Ofn061bN0KhH35Nsisk4BFthlTwCCHEni2s5LLvojTxrZuqXZ/YyQ8AZn24iW4jD6KHuqja9f3i6+ga6c1sP87G+KrGWq4QQogWpLUEPBCEPN26daNbt27NvRTRwsgWLdFmSA8eIYTYs51qnkfirVerXeepGilv5z/dfOT1LcTM/WpcX2iXca7jcUTRESjy8kkIIdocTWk9U7SEqIu8QhFtRmtK3YUQQjSubqH9yf9kGX6iejPlVLc+uL610+fxffjr6xaO2aXGbRoeR8U3cHbhIeSaTbuHXgghxO6ly3sJ0QZIwCPaDFXGpAshxB7r5PRJxOfOrnG91a0fvl+/aSPxpMMTH+Xi67m13r5XchNj9HbsWzCgQWsVQgjR8qiyG0C0ARLwiDZDKniEEGLPdHjOSfD+R+DYNW5LFu2D04DmyP/bEOe/y3qCUnv/nrCbYlSqlBOLBqOrTdswUQghRNOT9xKiLZCAR7QZph5t7iUIIYTYzTR0Dt2yH4lP36v19kROV9JOokHn/vibYr4o23GVzoHxtZyfsz8dc/Zu0GMIIYRoGSTgEW2BBDyizTA1CXiEEGJPMzL/IpJzZwfNc2qR0ApJWw0LeABmzNvEenYc8rRLlzLaUTis6HBAafBjCSGEaD66Kk2WResnAY9oM0J6TnMvQQghxG7UTu/MXit9rG++rPOYmBsmkYzv0uP8/bViEmbvHR6j4XJMfCNnFR5Gjtlulx5PCCHE7qcpUsEjWj8JeESbYRoS8AghxJ7kR5ELqHjv5Tpvd3WTWNwnsd1krfpyPZ+/vengmh1/8NgeyY2MMTrQq6D/Lj2mEEKI3cvQI829BCF2mQQ8os0IaRLwCCHEnuKAyOFEFq/F/t/yOo9JdO+H59uk0+ldfryymM2/P22HvxPbgSNOktNS5RxfNBhNSv6FEKJVCBv5zb0EIXaZBDyizTBli5YQQuwxTnSHU/72zB0eY3Xpi2HWnKzVUMvWVjD7f73rnKy1vYPja/lxbh86RLs32hqEEEI0jbDx/+zdeXhb9Zk3/O/R0WrJsiTv+5LFzg5x4iTskBAIkABZGgwUmE6fGdqZaafP006fdt5efWeeoTxvZ6NTKKW0FFpoB1poSwIJAUJCQoA0gSSEJITsi+N4l61dOue8f5g4Md5tST/p6Pu5Lq6iI+mcr2li69z+/e47W3QEogljgYd0g1O0iIgyw3XZqxA98BGUtvPDvi7kqYJsmvjqnUtt29eOj/3DN12+VG64E2tUGXM89XHNQURE8WOQZPbzJF1ggYd0g9+UiYj0zyo5MNNbjZ4t60Z8bTCrEJIcjnuG325pQath9D12jJqCa/znscI9H1mmnLjnISKiibEYHaIjEMUFCzykGyzwEBHp34rs++H/eCdUX8+Ir/XLOQDiX+ABgJ9s9CJkrhzTeyoD59BoKkKlsy4hmYiIaHy4PYv0ggUe0g324CEi0rcSyxQUnJfR8/Zro3q9P2aBogUTkiUaU/H4ZgmqyTOm92UpfiwP+XB17gLIBo7kJSJKBSzwkF6wwEO6wRU8RET6dqtxNbr3bgeiI/fViVqy4PNriCmJKfAAQHt3GL/dkw/NYB3T+yQJuMx3Fmsc0+GxlSYoHRERjRYnaJFesMBDumGULTBIRtExiIgoAebZl8Dc1InAzq2jen2gfCaUmIZoNHEFHgA4eLIbW5umApDG/N78cDvWaibMcl8e/2BERDRqFq7gIZ1ggYd0hZO0iIj0R4YRiyIL4f3zG4Cqjuo94cKpAIBQ2J/IaACANz5oxaeR2eN6r1GL4bpAK251z4fVyBsMIiIR+P2X9IIFHtIVG5dXEhHpzjLnFxE7dwah/btH/Z6QqwIAEAwmvsADAM+80YJO4/ibJ9cEzqHRUoLy7KlxTEVERKPBHjykFyzwkK5kmd2iIxARURy5jYWY5C1C1/ZXx/S+YFYBACAQSE6BBwAe3eBDxFI+7vc7Yn7cHg7gSk8DtxwTESURCzykFyzwkK5kWcY2zYSIiFLbctu9CJ47huiJT8f0voDBCdkYQzQaTVCygcJRBT/baoJqco37HJIEzPU3YY1zBtzW4jimIyKiobDAQ3rBAg/pip0reIiIdKPWVg93uwTvWy+P+b3+mAVGS/KKOxc0dwTx4sfF0AzmCZ2nINSOtbBihvuyOCUjIqKhWI1s80D6wAIP6Qq3aBER6cdibRn8Zz6B0to8pveF7C74/SpkOZygZMPbe6QLO1rqMJ7JWpcyaVHcEGjDMk8DLEZHfMIREdEAFhO/x5I+sMBDusICDxGRPlyfvRqmLj+631o35vcGymdAiWmQ5EgCko3Ohp2tOB6bGZdzTfY3odFahtLsKXE5HxER9WfloBbSCRZ4SFeyLCzwEBGlO5vBgdn+WnQf2QO1xzvm94cLegshGoLxjjYmT73ehm5TfKZiZUd9uDMcxCJPAwySHJdzEhFRL07iJb1ggYd0xW5mk2UionS33PEAVF8PfG9vGNf7w67eSVaqGopnrDHTNODHGwOImkvicj5JAub5m7DKORs51sK4nJOIKNPJBhNX8JBusMBDusItWkRE6a3MMgUlnQ50798BLTK+Hjohaz4AIKaIXcEDAMGwgl+8Y4MWxwaeRaFW3CXZMc09J27nJCLKVA5LPiRpYj3TiFIFCzykK9yiRUSU3pYZVyPq74L/vbfGfY6AobeYEokG4hVrQs60BvCnT8oAyRi3c5rVCJYE2nGTpwFmoz1u5yUiyjTZn/1SgEgPWOAhXTEazJw0QkSUpubZb4SjS4F391uAqo77PP6ICQAQCqdGgQcAdn3SiT93zoj7eaf6m9BorUCJY1Lcz01ElAmyrQWiIxDFDQs8pDvcpkVElH5kGLEosgCh7laE9u4c93kCOfkI+HuLQ4GAL17x4uJPO1pwRpsV9/M6oz24MxJBg2c+JIkf7YiIxsJhyRMdgShu+CmAdIcFHiKi9HOL84uQ/WF43xlfY+ULgmUzoCgaNE1DIOCPU7r4+dnGNvjM8V9tY5A0LPCfw8qcOXBauN2AiGi0uIKH9IQFHtIdhyVXdAQiIhoDt7EIk7xFCLafQeTYJxM6V6hgMgDAZFagKEo84sWVqgGPbYoiZk7MFKySYCvuMjgx1TU7IecnItIb9uAhPWGBh3Qn28bRsURE6WSF7V4gEoV3y7oJnyvsLAMAyObxTeBKhp5AFE+/74QmJ6Y5skUN46ZgB270NMAs2xJyDSIiveAKHtITFnhId3JsRaIjEBHRKNXa5sHdYYCv6TBi589O+Hwha28vBdkYmfC5EunEOR82HK8GJDlh16jzN+EuWw0K7VUJuwYRUbrjCh7SExZ4SHecVhZ4iIjSxWLtZmhqDN1vTXz1DgAEpWwAgGRI3RU8F+zY34693TMTeo2cqBerYyrme+ZD4sc+IqJ+jAYrrCan6BhEccOf9KQ7Tq7gISJKCzdkr4GlJ4Keo3ugdnfF5Zz+iBEAoCEUl/Ml2u+2taBZiv/49EsZoGKh/xzudF0Oh5l96oiILsi2coIW6QsLPKQ7TmshAEl0DCIiGobN4MAs/1Qo0RB6tk5sctYF3bnlCH42Il1V06PAAwCPb+hE0Fyd8OuUBs+j0ejG5JzErhoiIkoXDvbfIZ1hgYd0xyibOSqdiCjFrXA8AEM4Cu+B96CF41OMCZZNg6JoAIBoLBCXcyaDomr4yZsqFHPif5NsVUJYFurCDZ4GmGRrwq9HRJTK2H+H9IYFHtIlNlomIkpdZZapKO50IBrqgX/H5ridN5pf0/fvkWgwbudNhs6eCJ7d7YEmZyXlejP8TVibNRkF9sqkXI+IKBVlW1jgIX1hgYd0iX14iIhS1y3GVZBUFV27twCqErfzhrJLL/57yB+38ybLp6d78ObpSUjWxzN3pAurY0C9Zx64tZmIMhFHpJPesMBDutTbh4eIiFLNfMdS2LsUhHvaENrzXlzPHbZcbCAcCPrieu5k2bKnDQeDs5J2PRkKrvA34w5XPexmT9KuS0SUCrhFi/SGBR7SJa7gISJKPTKMWBhuAAB0vfta3M8fhOOzf9MQCKRPD57Pe+6tFrTJ05N6zfJgMxpNuajJSe51iYhE4j0D6Q0LPKRL7MFDRJR6bnHeB2MggkDbaUQ+PRDXc2uShMBnI9KN5ihUVY3r+ZPtJxu8CFkqknpNWyyIW0PduM7TAKPBktRrExElm0GSkWMrER2DKK5Y4CFdclpZ4CEiSiUeUxEmeQuhaSq8b78S9/N7C2sQ8PX28zGZo3E/f7JFYip++pYM1ZT8bVOz/E1Y65iKvKzypF+biChZcmzFkA1G0TGI4ooFHtIlp60QEv94ExGljOXWeyHFFPibjiB27nTczx8sqYOq9o5Il+Rw3M8vQltXCM/vLYAmYDWNJ9yJLygyLvPUgw2YiUiP3PbkrpIkSgbeAZMuyQYT99QSEaWIOtt8uDsMUJUYvFvWJeQakbzqvn+XDPoo8ADAxye8ePtcLUQUWWTEcLX/PFa465FlciX9+kREieSxc5Ui6Q8LPKRbHlbliYhSwmLtJkgAeo7vg9rVkZBrhLMv9lHQEErINUR5fXcrjkSSN1nr8yoDzWg0FaDKOU1YBiKiePNk8V6B9IcFHtItFniIiMS7IXsNzD0RKNEwerZuSNh1wpeM+FaUYMKuI8rTb7Siy1gn7PpZSgDLwz24xrMAssEkLAfRcDpbQtA0TXQMShNuruAhHWJXKdItFniIiMTKMjgxyzcVQBTeg+9DCyVudHkQdgC9N3ZRHRZ4AODRjT78w61lMIfPCMswx38WpY5p2BRtR3vwrLAclFzvrDuDF398GP+x6YYBzzWf8GHdz4/i+MdemMwGLLq1BEvvrYbBMPZthZGQgg1PH8P+d1vhbY/A7jRh8hwXlt1fA0+RDQAQ9Mfwq4f249Shbtx4dxWuW937eU9VNPzuR5/gy/9nNiS2jaJR4BYt0iOu4CHdYoGHiEis5Y77YYhEEQ354N/xRsKuoxiMCIblvseRSOIKSSKFIgp+ttUM1ZQjNEdeuANf0EyY7Z4rNAclx56t5/HSY4cHfa7lTACP/q8PcOKAF9evLsfCZSXY/PwpbHzm2Liu9auH9mPnpnOoX1yElX8zFXNvKMSB99vxo7/fjaCvdzreztfO4dwxH664rRTrf34U/u7e43u3tWD2VfnjKixR5rGZXLCanKJjEMUdCzykWx57pegIREQZq8wyFcWddgCA98OtgKIk7FpdxVMQ9MX6HgdD/oRdS7TmjiD+cKAUmsEsNIdRi+HaQAtuc8+HjTdJuqSqGl795VE8+/ABZLsH//P28hOfIhRQ8JUfXo4b76nGsgdqcPuDk7H5+VNoPze2lXQtZwI48H47bvvyJNx8Xw0WLivB8i9Pxhf+vg49HRHsf7et93Wn/aiZ5cLSe6ugqhrazvYWdHe/2Yx5izlgg0aHq3dIr1jgId2ymhzIuqQnAxERJc8txtWQVBVhXweCH+xI6LVCpbVQ1YuPAwH9FngA4MNPO/Feq7h+PJeqDpxDo7kYFc5a0VEozs4d9+HdV5vwF9+fhdq5Az9PhfwxHNrVgekLclE2Obvv+IKbS2CyGPDRO61jul6wp3cljtXWv4OE0dx7u2I09v6vqmiQjRIMcu9KHVXVcPiDDlTPdPW9lmgkHJFOesXvgqRrufzmTUSUdPMdN8He1buipuvd1xJ+vainqu/fJUlFMKjPLVqXeuX9VpxUxE3WupQ95seKkB9X5TZAltiAWS9c+VZ8+8kFmLEob9Dnz5/yQ1U0TLnM3e+40WRAcbUDZz7tGdP1SiY54PSYsfHXx3H6cDciYQWnD3dj/S+Owu40YWp9b5EpJ8+C5hN+HNvXBQBweix495WzuOK20nF8lZSpuIKH9IoFHtI19uEhIkouI8xYFJ4PAAh2NCFyeH/Crxl2FF+8vjmWMVN0fr6pDT2mKaJjAAAkCbjc14Q1zulw24pHfgOlPLvTBIdr6K2AgZ7eIm5usW3Ac9luMzrOh8Z0PZNZxlf/bS4iIQX/+be78L+Xb8V//u0uaKqGv/n3ubA7e4uHc68vRGdLCI9/ew+mL8hFKBCDp9gGm92IWFQd4SpEvTginfSKBR7SNfbhISJKrluc90IORKBpGrreXp+Ua4bMF1cQGE2RpFwzFWga8OhrIUTNqVNQyQ+1Y61mwUz35aKjUIJdKKSabfKA50wWA0L+2IDjI3nrhZPwtoVRXpuNBTcXo2ZmDlpOB/Dar44hGunt41VQbsc/PrMI33h0Hv7yn2fj7ZdOY/ZVBfi3B3fiO3dsxdaXTk/sC6OMwBHppFcck066xhU8RETJ4zEVocZbCECB/9wRxM6eTMp1Q1oWgN7f3BuMY1s1kO78oRie2mHHXy3MhhQb25aYRDFpMVwfaEWFpwGbuw8ilCK5KL5Mls8KO4MsmNM0IDrG1TQHd7bj/Y3nsPTeKtx8X03f8Q/easazDx9AcfUpLL23GgBgc5hQPtWEjuYgZJMB+7a3QANw073VWP/zI1hwczGsWbzNocHJBhNybGzITfrEFTykayzwEBElz3LrvZBiClRVgXfLuqRcM2YyIxS+5OOMlDkreC443eLHy4crACm1bmgn+ZvQaClFWfZU0VEoAXLyLACAjuaB07J8XRHYxlhgObS7HQBw7ar+n93mXl+EvBIbPt3TOeA9W186jWtXluP8ST9q53pw9R1lUGIaWs/ovw8XjZ8rqwySxNtg0if+ySZdc1jzYDHaRccgItK9aVkL4O7o/VjRc+IjqJ3tSbluR2ldvxHpqja20cx68edDHdjdNUN0jAEcMR/uCAdwRW4DDClWgKKJySu2wWo34uhnzY4vUBUNpw/3wJk7dP+eQX22EkgZZOVPNKJCVfovFfJ3R+HzRlFYYUc0rMJkMfStKoqG2YuHhsZfAJOescBDupfnqBn5RURENH6ahBvUGyEBUGIR9Gx5JWmXDhX1H5GuqJm1RetSf3inBU2YKTrGAJIE1PuasNo5Ey5roeg4FCcGWcKsK/Kwb3srOlsu/r374K3zCPljqJ2XO6bzXWjW/P7Gpn7Hd6w/29uXZ6qz3/HtfzqDq1aUAQDMVhnRsIJIsLdPz2B9gYguKMieJDoCUcLwVymkewXOKTjb9ZHoGEREunVDzhqY23u3RnUf2gktiWPKo7mVQPiSx7HM3prx0w3t+Pbtk2CPHBUdZYDCUBvWGux4230ZDnbuER2H4mBxYxX2bmvFz767B8semISezjDW/+IonB4z5l5/sZjXdMyHpmM+1NZ7kO0efGXP5dcV4s3/PolXnjqGXW+ehyvfgo7mEFrPBGB3mrD4rouDMyIhBWeP9uCmL/b25CmutmPvtlZoKmA0G5BfmpXYL5zSWgG3jZKOcQUP6V5BdmqMkCUi0qMsgxOzenq/z0bDfvjeeT2p149k9V8REo5kdoFH1YBHN0WhmAtERxmUWY1gSaANN3sauIVaBwrKsvA//mU2omEVT//zR3jxx4fhcJnxF9+f1TfWHAD2bW/Bb354AOdP+Yc8V7bbjK89Uo+51xci0BPFpx92wtcVwbSGXDz4/13WrzB0aFcHFi4r6Xt8zcpyuPIs2PVGM9Z8rRYWruChYRQ6WeAh/ZK0CzMOiXSqzXccv373y6JjEBHp0lrn36GkvXdrRdv7GxDctT2p199z95NoarH0Pe6ObUB7e2tSM6SimhIH/qK+CZIy9A21aN0mJ15HGE2+1FttRGOjxFQcP+CFpgLV03NgNPN3yJSasq0F+PLVvxUdgyhh+N2XdM9jr4DRYBn5hURENCbllloUd/RuhQj7O5Ne3AGAkGbr99jv9yU9Qyo61uTDayeqASl1VzI4o924MxLBAk8DJ9qkOdlowOTZbky5zM3iDqW0Qmet6AhECcXvwKR7BklGXjYbLRMRxdsy40pIny0E9r63KenXj9jsCIUufpSRDCpCocycojWY7R+14yNf6jVdvpRB0tDgb8KqnDlwWvJFxyEinSt0snUD6RsLPJQR2IeHiCi+Ghw3wd7VO7Em2HEO4UP7kp6hvXQagv6LI9JN5kjSM6S657e2oMUwXXSMERUHW9FoyEata7boKESkY2ywTHrHAg9lhILsyaIjEBHphhFmLAzNBwBomoaubeuF5AgXTYF2yYh02cQCz2B+sqELQXOV6BgjMqsRLA124EZPA8yybeQ3EBGNERssk96xwEMZoYDLMYmI4uYW5xchB3uLKf7zxxA7c0JIjqirot9jg8wCz2BiiobHNwOKOVd0lFGp8zfhrqxqFDmqRUchIh3JthbAZs4RHYMooVjgoYyQ56iGLJlGfiEREQ0r11SCGm/vCG5VVdD91jphWSJZnxsFLoXEBEkDHd1h/OaDPGiyVXSUUcmJdGNVVEGDZz4kflwlojjg6h3KBPyJSRlBNpiQ66gUHYOIKO0tt94DKdbbe8d38mMoHeJGkkdMrn6PVY0FnuF8cqobm89MASCJjjIqBqhY4D+HO12XIduSHquPiCh1sf8OZQIWeChjsNEyEdHETMtaAFdHb3FAiUXQveUVoXlCav/VKIrKAs9I3vqwDYdC6dXIuDTYgkbZhSmuWaKjEFEa4wQtygQs8FDGKOCyTCKi8dMk3KDc2Lf2o/vwLmgBn7A4Ibsb4VD/lSiRaEBQmvTy7OYWtMvTRMcYE4sSxs3BTiz2NMCUJtvMiCi18F6AMgELPJQxinPS68MsEVEqWez8Asy+3ibGsXAAvm2bhOZpK5+OoC/W71g4wgLPaD22oRthS7noGGM23d+Eu7ImodBeJToKEaWRbGsBssyukV9IlOZY4KGMkZddAxPHrhIRjVmWwYmZvsl9j737tgGxqMBEQKSgBprW/1gw6BcTJg1FYiqe2GKEanKLjjJmrogXq2Iq6tmAmYhGiQ2WKVPwpyJlDIMkcxUPEdE4rHDcD0Okt6AT8Xch8OdtghMBMdfA1ScBgVvG0lFLZwgvfFQIzWARHWXMZKi4wn8Od7gvh93sER2HiFIcGyxTpmCBhzJKiWum6AhERGmlwlKHoo6svsddO1/HgKUzAoSz8vs9NsgKwuGwoDTpa/8xL7Y31yJdJmt9XlngPBqNuZiUM0N0FCJKYUU5daIjECUFCzyUUUpc/ABIRDQWN8srIX1W0Al2NSN8YI/gRL0ick6/xyaz2C1j6ey1Xa04Fk3fCVU2JYhbQl5cn7sAxjRcjUREiWWQjLwHoIzBAg9llOKc6ZAk/rEnIhqNBY6bYff2NjLWNBXebWLHol8q/LkR6QZTRFASfXjq9VZ4TbWiY0zITN9ZrHVMRX5WhegoRJRCCp1TOH2PMgbvdCmjmI1ZyHPUiI5BRJTyjDBjQWhe3+NAywlETx0TmOgiv6sQ4WD/YwYDt2dN1KMb/YhaSkXHmBBPuBNrFAmXe+qRrtvOiCi+St2zRUcgShoWeCjjcIkmEdHIbnV+EXKwd1WMpirwblknONFF7aV1CPn7j0jXpJCgNPoRDCt4cpsFqtEpOsqEyFBwlf88bnfXcywyEaHMNUd0BKKkYYGHMk5JDhstExENJ9dUgmpvQd/jntMHobS1CEzUXyR/4Ih0TWOBJx6a2oL446EyaJJJdJQJqwg0425TPqqcnKBJlKkkGFDi5md/yhws8FDG4QoeIqLhLbfcAymmAAAUJYrut9YLTtRfdJAR6TElOMgraTw+ONyJnR3TRceIC1ssiOXhHlybuwCywSw6DhElWX72JFiMdtExiJKGBR7KOE5bIRyW/JFfSESUgaZlLYCr82Lvkp7Du6H5ewQmGihqyxtwLBINCEiiX+vebcEpNX0na33ebN9ZrHXUITerTHQUIkoi9t+hTMMCD2UkruIhIhqEJuEG5ca+1rSxSAA9214TGmkwEXlgj5hwmAWeeHvytTb0mCaLjhE3ueEOfEGVMcc9V3QUIkqSMhZ4KMOwwEMZqdSln99KEhHFy2LnF2D2XRw37v1oBxBNvfHjYcUy4Fgw6BeQRN80DXh0Uxgxc5HoKHFj1BRcE2jBcvc82Ezp3UyaiEYi8TM/ZRwWeCgjlXnYTZ+I6FJ2Qw5m+i6u1ogEvQjs3Cow0eC8eRWIBLUBx/0Bn4A0+ucPxvDL9xzQjA7RUeKqKtCMRnMRKp11oqMQUYLk2ithM+eIjkGUVCzwUEbKc1Qjy+wRHYOIKGUsd9wPQyTa99i78w1AVQUmGlxHae2AEemyrCAajQ7xDpqok81+rD9SCUhG0VHiyh4LYHnIh6s9CyDrYGoYEfXH7VmUiVjgoYxV4blcdAQiopRQYalDUYet73HI24LQ/g8EJhpaJK96wIh0oyX1tpHpzfsHOvChV3/96yQJuMx/Fmuyp8NtKxEdh4jiiA2WKROxwEMZqyK3XnQEIqKUcLO8EtJnVRNN09C1/RXBiYamOAf5D/cWAAAgAElEQVTehMvGsIAkmefF7S04h5miYyREfrgdazUzZrr5yx8ivShzsyUDZR4WeChjVXo4RYOIaKFjGezei1ueAq0nET1xRGCi4UUGGZEuGVjgSZafbuxAwFwjOkZCmLQYrg+04lb3fFiN2aLjENEEuLJKYbewHQNlHhZ4KGM5rPnw2CtExyAiEsYIMxpCF1czapoK75b1AhONLGIY5MZbYoEnWRRVw2OvK1DM+aKjJExN4BwaLaUoy54qOgoRjRNX71CmYoGHMloFV/EQUQa71Xkf5ODF/jW+UwehtJ4TmGh4miQhopgHHFfUkIA0mcvrj+DXf3ZDk7NER0kYR8yHO8IBXOFpgEFnzaWJMgELPJSpWOChjMYCDxFlqlxjKaq7Lq7CUJUoulN89U5n0SREBxmRHlODAtJktiNne7DpZA0gyaKjJIwkAfX+Jqx2zoTLWiQ6DhGNmoTK3HmiQxAJwQIPZbQyz2Uw6PjDKRHRUJbb7oakKH2Pu498CNXXLTDRyNqLpw4YkQ4AkUhAQBratq8dH/v12XT5UoWhNtwFG6a7LxMdhYhGoSB7CrLMLtExiIRggYcymsVoR6GzVnQMIqKkmm5bCFeH1Pc4FgnC9/ZGgYlGJ5ZbNWBEOgCEwv7khyEAwG+3tKDVMF10jIQzaVEsDrRhmacBFqNddBwiGkZ1XoPoCETCsMBDGY/btEhPVFVDW1MA7eeC0Aa7Ex5CZ0toTK+nNKZJuF5dAumSQ979O6BFUr9RccxZPOjxYJAFHpF+stGLkLlSdIykmOxvQqO1AqXZk0VHIaIhVObNFx2BSBh2jaOMV5Fbj/ePPys6BunUO+vO4MUfH8Z/bLqh71hHcxD/ct+7w77vq/96OSbPcY/pWu9taMIrvzgKf3cUAJCTZ8EdX5mCOVcXAACC/hh+9dB+nDrUjRvvrsJ1q3unyKmKht/96BN8+f/MhiQNeXrSiSXOtTB3XGysHAl2I/D+FnGBxiBmzQW8A48HAizwiBSNqXh8s4SvX++BIdohOk7CZUd7cKcG7PI0YGfnbqiaMvKbiCgpLEYHinOmiY5BJAwLPJTxinOmwyTbEFXYpJPia8/W83jpscMDjttzzLj7Hwbf0rD7zWYc2dsJT6F1TNfat70FL/znIVx1exkalhYj6I9h3c+O4Nc/+BiFj2ehqMqBna+dw7ljPlxxWynW//wo5i8tht1pwt5tLZh9VT4MBlZ39M5uyMEM3yQA0b5j3l2bAVUVF2oMIgbHgGOyKYpYbGBfHkqu9u4wfrsnH3fPCkDKgKlmkgTM9zeh3Dkbm8Jn4Q21iI5EROhdmc/+mpTJuEWLMp5sMKIyt150DNIRVdXw6i+P4tmHDyDbPXCks8UmY96SogH/1NZ7cOKgF1ffUQZPkW3011M0vPyzI5h1ZT5W/s1UlE3JxpTL3Ljrm9OgKhr2v9sGAGg57UfNLBeW3lvVu5XrbG9j2t1vNmPeYk6IyQQrHPfDELlY3Al1tyK0788CE42eYjAiGhv498lkig7yahLh4MlubGmaAiBzisVFoVbcJTlQ5+JIZqJUUMXtWZThWOAhAlCTv0h0BNKRc8d9ePfVJvzF92ehdq5n1O/b8MwxmEwG3HhP9Ziup6oa1ny9Drf/df+eELKx9yZL+mxljqpokI0SDLLU977DH3SgeqYLRjN/HOhdpWUaCjsuFg41TUPXOxsEJhqbjtIpiAYGboUxmFK/d1AmefODNhyOzBYdI6nMagQ3Bttxk2cBzHKW6DhEGa0qlwUeymz8RE8EoDpvIST+daA4ceVb8e0nF2DGorxRv6f1bAA7N57DkrurYLOPbfes0WRAbb2n36ofVdHwxm9PwCBLmN6QC6C3J0/zCT+O7esCADg9Frz7yllccVvpmK5H6elm+U5IlzTSDrafRvTYJwITjU1H0RQE/QMLPJIhMsirSaRfvdGCTmOd6BhJN9V/FndlVaHYUSM6ClFGKsieDIc1X3QMIqF4R0sEIMvsQhEbslGc2J0mOFwDt5IMZ/PzJ2FzGLFwWcmErh0KxPDyz47gX//6fezb3orGb05DcXVv35K51xeisyWEx7+9B9MX5CIUiMFTbIPNbkQsmh49WGh8FjqWIct7sU+Npino2rJOYKKxi+ZWDXpcg/77vaSjRzf4ELGUi46RdDmRbqyMxtDgmQ9J4sdsomSqzlsoOgKRcPzJQ/QZbtMiUbrawtj1ZjOuur0MZuvEGgMqMQ3nT/nhbQvDIEsIBS7e1BeU2/GPzyzCNx6dh7/859l4+6XTmH1VAf7twZ34zh1bsfWl0xP9UigFmWBBQ6h/nzHf2cNQzjcJSjQ+iqNw0ONqBjT0TUfhqIKfbjFCNblER0k6A1Qs8J/DypzLkG0Z/UpOIpqYdP0sv2zZMixZsqTfseuvvx6rV68e1fuffvppSJI0pn/WrFmTiC+FUgCnaBF9ZlL+Irxz5OeiY1AG2rHuDDQVcdkqZXea8D/+ZQ6C/hh+98ghvPjjw3DlWzFjYe9Nhs1hQvlUEzqag5BNBuzb3gINwE33VmP9z49gwc3FsGbxR4Oe3OL8IuT2i9uYVCWG7rfWC0w0PjHL4P2sokogyUlotFo6Q/j9/mKsmRaApGbeVrqSYAsa5RxscRXjcNdHouMQ6VqW2YNCZ63oGCPatWsXTCYTLBZL3zGfz4esrCwcOnSo71gwGISiKP2OaZqGcDgMm82G2tqLX6vN1rtF/5lnnkFDQ0Pf8e9973vYsWMH3nzzzX4ZFi9eDKt1bNNaKX3wUzzRZ3IdVcixlcAbTK/falN6U1UNu15vRt08z6ATt8bLZjdizddrsW9bKz7Y3NxX4Llg60unce3Kcqx78ghq53pw9R1lePWXx9B6JoDyqc645SCxco2lqO7KB3Cxd0330T1Qu7vEhRqnqMEBQBtwPBJhgSeV7TvahdLcOlyZ9xEG+/9P7yxKGDcFw6jwNGCr9yNElaDoSES6VJ3XAElK/Ql+S5YsQSwW61dg6e7uhsFgwFVXXdXvmCzL2LZtW98xTdMQCoWwZMkS/OlPf+o7Lsu9q78rKipQV3ex/1lOTg5MJlO/YwBgMplgNLIMoFf8f5boEjX5i/DhqRdFx6AM8ukHHehqC2P5X00e+cVD6GoNYdsfz2DhLSXIL704wcXmMMEgS4jF+t9U+buj8HmjKKywIxpWYbIYYLL0fjiIhtmLR0+WW++BFLxY3FGiIfjeTp/JWRdETVZEY0YAA0eih8Is8KS6DTtbUbJ0JqqNmbuKZZq/CcW2GmzS/DjvPyE6DpHupMv2rK6ugb9gWbJkCcrKyvD0008Pe2woFwo8HR0daG5u7jt+YRXQpccAQFGUvveQ/rDAQ3SJSSzwUJJ9uLUFslHC9AW54z6HzWHE9pfPoPVMAH/x/87q+w3W/h2tiEVV1Mzs3wNj+5/O4KoVZQAAs1VGNKwg8lkRwGzjD3y9mJG1CK7O/se8H78HLZx+PWvay+oQCwxefAwGfUlOQ+Px1Ott+OaKqciJHhYdRRhX1ItVMGCnZx52d3wADSyoE8WDbDChwlM/8gtT1AsvvDCg4LJp0yb84Ac/wD333IPnnntu2Pdrn03IXLVq1aDPFxcXD/ke0h8WeIguUeqaDYvRgXCMNwyUHId2taN8qhMW2+DfjpuO+dB0zIfa+qG3cFlsRiy7vwYv/+wIfvKtDzHnmgL0dEaw9cXTKKlxYMHNF3+wR0IKzh7twU1frAYAFFfbsXdbKzQVMJoN/VYAURrTJFynLIaEi31PoqEe+N/dLDDU+LUXThp0RLqmafD7/QIS0VhpGvDoxgD+YVkJTJHM3QotQ8UifzMqXJdhU+AkfJF20ZGI0l65+zKYjTbRMUbl4YcfxieffAKLxdJvS5ksy/jKV76CSCQCi8UCWZZx8OBBvPjii/jud78LWZYRiUQQCoUwbdo0ZGdn971XVXuLxevWreu3zetrX/satmzZgn379vXLMHv27L73kP6wwEN0CYNBRlVeAz5pTs+bIEovZ4/2oLs9goalA3+zcsG+7S3Y9OwJfPVfLx+2R891qyuQ7TZj64unsf7JI3C4zbjithIsaazq1zT50K6OfqPYr1lZjpMHu7HrjWas+VotLFzBowtLctbC3N6/qW3X7rcAdWCRJB0ongpgkB69JnOMH1LTSDCs4BfvZOGvFzkhxbpFxxGqNNiCRqMbm23FOOrdLzoOUVqbUniN6AijZjabYbFYYLVaIUkSjh8/jpdffhmPPPIIdu/eja985SuwWCwIhUIIhUJwu9249tprAQDhcBihUAhbtmzBlVde2XfOWKx3YqrD4YDL5ep3LYPB0O8YABgMhr73kP5IGtdnEfXzSfNmvPrRQ6JjEBGNi1124cvqV2GIXPzwFu5pR8uv/kNgqon58Av/F+c6SgYct9r9OHiM22rTzbxaN+6YfBjQeIMBAB/bS/F21x7E1LDoKERpxyAZ8dfX/g5WU/oNiPB6vbjyyivR0NCAp556qu94V1cX5s6di7q6Orzyyis4e/Ysjh492lfo+bxnnnkGDzzwwJiuvWbNGrzwwgsTiU8piit4iD6nKrcBBskIlR88iSgNrci6H4aO/t+/ut55VVCa+IiZ3YMel42ZN3pbD3Z90onS3BmY79orOkpKmOE/ixL7FLymdqPVf0p0HKK0UuGZm5bFHQB49tlncfToUezatavvWDQaxQMPPABJkvDrX/8akiThW9/6Fl588UU8+eSTuP/++wec54477sDBgwcHHB9qTDqAflu8SF9Y4CH6HIvJgcrcehxve190FCKiMam0TEdhpxWXjqMOtJ1G5OghcaHiICrZgcEa0hrSr2E09frTjhYUL5uJMonbkwDAHenCGsh4z1OPDzo+QCaOlCcaj6lFg69qSVWtra147rnncOutt8JqtcJgMODw4cOw2WywWCxYvnw59u3bh8bGRvzgBz9AIBCAJEmQJAkPPPAATp06he9973sAgL1796KlpQUul2vMBRuv14u2tja4XC5UVlYm4kslQVjgIRpEbdH1LPAQUdq5Wb4D0iWrDzVNhfft9QITTVzEZocSM2KwJjwauKUlnf1sYzv+4fZJcESOio6SEmQouNJ/HhWuuXg9cAz+SOfIbyLKYLJkwqT8q0Z+YQrp7OzEN77xDcyZMweyLCMQCGDOnDlYtWoVnn/+edjtdixdurSvCXN5eTlmzpyJpUuX4plnnsE//dM/4ZZbbkF9fT2efPJJPPbYYyNec9q0aUM+9/Wvfx2PPPJIPL9EEswgOgBRKpqUfyVkw9ANbYmIUs1CxzJkeftvzfI1fYrYuTOCEsVHa9l0RAeZoAUAihpMchqKJ1UDHtsURcxcKDpKSikPnkejKQ/VOdNFRyFKaRW5c2E1OUTHGBOTyQQAsNvtff/b2dmJ//qv/4Isy1i5ciV++MMforGxEbIs47vf/S5uueUWTJo0CS+99BJ+8YtfoL6+dyT897//fZw/fx6hUAiapkHTNLS2tqKiogLXXHMNvvSlL6GyshJbtmyBJElYv3593+sCgQDOnj2L7373u8L+W1BisMBDNAizMQvVeQ2iYxARjYoJFjSE6vsdU5UYut9aJyhR/HQUTEIoMHiBJxoLJDkNxVtPIIqn33dCM6bXTVqi2WJB3BbqxrWeBfyFE9EQphZeJzrCmF0YjW4wXLwNd7lcKCnpHSTw/e9/Hzt27MD+/fvx/PPPAwCee+45rFy5Em63u18Pnvz8fBQUFMBisQAAuru7sXr1ajQ3N+OJJ57ou9a1116LG264Affffz8OHDgAALDZbCgpKUFBQUHiv2hKKhZ4iIaQjj80iCgz3eq8D3Kw/xamnuP7oHrTf4uH4i4f8rlIlCt49ODEOR9ePVoJSLLoKClntv8s1jpqkZdVJjoKUUqRDSZMyr9CdIy4isViCIfDqKqqgslkQlZWFgDAYrHAbB6+0Lt37140NDTgnXfewW9+8xvU1dX1e/6Xv/wlrFYrFi1ahN/+9rfgIG39YoGHaAg1+QthNFhFxyAiGlaesQxVXXn9jimxEHq2pvfkrAsUe/6Qz4VC/iQmoUR69+MO7O2eKTpGSsoNd2KNKmOOp37kFxNliErPPFjSbHvWUHbv3o3f//73OH78OBRFQW1tLSRJ6lvlc6HJMoABhZnjx4/jwQcfRH19PZqamvD73/8eq1atGnCN8vJybNy4ES6XC3fffTdmz56NRx99FGfOpPc2bhqIBR6iIZhkG2ryF4qOQUQ0rOXWuyEp/bcweT9+H1pIH6tblCFGpANAIMACj578blsLmqUZomOkJKOm4Br/eaxwz0eWKUd0HCLhphZdJzrCmLW2tuKPf/wjgN4R5g899BD8fj/mzZuHZ555Btu2bUNlZSWqq6v7euV83iuvvILbbrsNra2tePjhhzFp0iQ88cQTWLRoEfbu3Yvbb7+977WKoiAajfY9njlzJvbs2YMHH3wQBw8exN/93d/h7//+7xP/hVNSscBDNIzaoutFRyAiGtLMrEXI+dwurGjIB/+7b4oJlABRZA3xjMoCjw49vqETQXO16BgpqzJwDo2mIlQ660Z+MZFOyQZzWm7PUlUV3/zmNyHLMrq6urBq1Sq8/PLLaG5uxrPPPouHHnoIX/rSlyBJEkKhEMLh3kmRBoMBzc3NeOSRR/DjH/8YmzdvRlZWFm677TbU1NTgueeew9tvv43q6v7fOxVFQSTSf/u22+3G448/joMHD+LBBx/Et7/97aR9/ZQcHJNONIyq3AaY5SxEFDbyJKIUo0m4VlkM6XPjw70fbgGUwZsSp5uQ3Q01KgMY+PWYzFH2ENAhRdXw6BsK/ueSfMiRVtFxUlKW4sfyGLA3dwF2dH4ARY2O/CYiHanKnQ+zcajif+oqLCzEH/7wB1x11VVwuy+uTu3p6cGNN94Is9mMb37zmwCAcDiMUCgEALj66qvhdrvxjW98A06nE9/5zndgt9sxa9YsHD58uF/D5ksFg8EBBZ4LpkyZgscffzzOXyGlAknjpyOiYW3Y/zAOnXtDdAwion5udDZiZnv/BsRhXwdanvl3QYni72TdlTg69auDTtGyOXw4cPQlAakoGaaUZ+O+y85A4i9YhtVqycWmaBs6gmdFRyFKmmUz/xF1xTeIjhFX58+fh6IofdO0iMaLW7SIRlDLaVpElGLssgvTewZuY+nasUFAmsTpLKgZckS6QQ4nOQ0l06ene/Dm6UngR9Xh5YfbsVYzYZb7ctFRiJLCaLCgJn+R6BhxV1hYyOIOxQV/ahKNoDJ3PizGbNExiIj63J51PwyRWL9jgY6ziHx6QFCixFBzSod+0sACj95t2dOGg8FZomOkPKMWw3WBVtzqng8rP6+QzlXlNcBstImOQZSyWOAhGoFsMGJK4TWiYxARAQCqrDNQ0Gntd0zTVHi3rheUKHGGG5GuaaEkJiFRnnurBW3ydNEx0kJN4BwaLSUoz54qOgpRwnAACtHwWOAhGoUZJTeJjkBEBAC4yXA7pM+1z/OfO4pY0ylBiRJHMbmGfC6m6mMMPI3ssQ1ehCwVomOkBUfMj9vDAVzpaYBB4iwV0heryZmW07OIkokFHqJRKHHNgMfOD5dEJNYixy3I8vbfmqWqCrxvrROUKLFiGHoZfkxhgSdTRGMqfvqWDNXkER0lLUgSMNffhDXOGXBbi0XHIYqbuqLFkA0m0TGIUhoLPESjNL14qegIRJTBTLBgfmjugOM9Jz6C2tUuIFFi+VxF0KJDf0wJhzldKZO0dYXw/N4CaAaL6ChpoyDUjrWwYob7MtFRiOJiZuky0RGIUh4LPESjNK1kKSSJf2WISIxbnfdDDkb6HVNiEfRseUVQosRqKZ+GqH/wCVoAEAr5k5iGUsHHJ7zYem4qAEl0lLRh0qK4IdCGZZ4GWIwO0XGIxq0geyrysyeJjkGU8ni3SjRKDksuqnLni45BRBko31SOqq7cAce7D+6EFtTnSpbOvCqEgkMXePwBFngy0Ru723AkwslaYzXZ34RGaxlKs6eIjkI0Lly9QzQ6LPAQjcF0NlsmIgFuszRCUvoXO6JhP3w7XheUKPHUnJIhn5MkFaEQe/BkqqffaEWXsU50jLSTHfXhznAQizwNMEiy6DhEo2Y0WFBXdIPoGERpgQUeojGYlH8FrCan6BhElEFmZl2BnM6Bx70fbgVisYFP6ISWlTfkcyZLFNrnJolRZnl0ow8RS5noGGlHkoB5/iascs5GjrVQdByiUZlccBUsJm4xJBoNFniIxkA2mFBXtFh0DCLKFJqE65QbBnQcCfs7Edz9jpBIyRIz5gz5nGyKDPkcZYZQRMHPtpqhmob+c0JDKwq14i7JjmnuOaKjEI1oBrdnEY0aCzxEYzSj9GbREYgoQyx13gWTb2Axw/vuawLSJFdMsw75nEFmgYeA5o4gXvy4BJrBLDpKWjKrESwJtOMmTwPMRrvoOESDyrEVo5yT4IhGjQUeojEqyJ6M/OzJomMQkc5ly25M91UPOB7sbEL4k48EJEoeb34FpGFGpEMKJS8MpbS9R7rwXiv78UzEVH8TGq0VKHFwQhGlnuklN0GSODmPaLRY4CEahxlstkxECbbcfh+kSP8eO5qmoettfY5Fv1RLaR0iw4xIVzUWeOiiV95vxUmFk7UmwhntwZ2RCBo88yFJvD2g1CDBwM/cRGPE7+BE41BXtBiyZBIdg4h0qso6AwUdA7co+ZuPInbmRPIDJVlnbiXCw4xIV1RO0KL+fr6pDT0mjgCfCIOkYYH/HFbmzIHTki86DhEqcuuRbS0QHYMorbDAQzQONnMOphReIzoGEenUzYY7IH1uSpSqKujesl5QouTSnMXDPh+JssBD/Wka8OhrIUTNw//ZoZGVBFtxl8GJqa7ZoqNQhptRwr6XRGPFAg/ROM0pv110BCLSoSsct8LmjQ447jv5MZSOVgGJkk+1DT0iHQAikUCSklA68YdieGqHHZoxW3SUtGdRw7gp2IEbPQ0wyzbRcSgDWU1OTC64UnQMorTDAg/ROJW4ZqCAzZaJKI7MkhXzgpcPOK4okYxZvQMA6gg36MGQP0lJKN2cbvHj5cMVgGQUHUUX6vxNuMtWg0J7legolGHqihZDNrAdAtFYscBDNAFcxUNE8XRr9n2QQwNHgHcf+jO0QGYUNTRJgjLMiHQACPh9SUpD6ejPhzqwq3OG6Bi6kRP1YnVMxXzPfEi8daCkkDC7bLnoEERpid+liSagrmgxLFwKTkRxkG8qR2VX7oDjsUgAvu2vC0gkRmfxJGBgjauPwaAiFOYULRreH3e04Cxmio6hGwaoWOg/hztdl8NhHvh9iiieKnPrkeuoFB2DKC2xwEM0AUbZwvGNRBQXyy2NkJSBk6O8e7YBsYE9efTqfHEdogF1yOeN5mGqP0SXeGJDO/zmSaJj6Epp8DwajW5MzmHxjBLn8vKVoiMQpS0WeIgmqHebliQ6BhGlsZlZV8HZOfB4JNCFwK5tyQ8kkNdTPuyIdBZ4aLRUDXh0UxSKmWOW48mqhLAs1IUbPA0wycNvpyQaK3dWGaryGkTHIEpbLPAQTZArqwRVufNFxyCiNCVpBlynXDdombjrvU29858zibNo2KclQzhJQUgPegJRPLMzB5psFx1FiNMtfmgJ+h4yw9+EtVmTUWDnVhqKn8sq7oQk8RenROPFAg9RHLDZMhGN11LnXTD5Bq5KCXY1I3xwr4BEYinW4ft7aBILPDQ2x5p82HC8CpBkIddXFBVXfeVVLP76axM6z/9+fDcmr31xwHGvL4Jbv/UG8m/9b/zn8wf6Xfer//ZeQmvE7kgXVseAes88cDUzTZTFaMf0YrY+IJoIFniI4qA6rwFOW7HoGESUZrJlN6b1VA04rmkqvG+/kvxAKUCVHcM+r2lssExjt2N/Bz7yiekb89Cv9uH9A20TOsd/Pv8x/v2/Px70uac3HMFHRzvx17dPxXee2I12b+/fkRe3nsQd11TAYEhs4UWGgiv8zbjDVQ+72ZPQa5G+zShZBrPRJjoGUVpjgYcoDiTJgDkc50hEY7Q8635I0diA44HzJxA9fUxAIrEUgxGqZhn2NTElmKQ0pDfPb21Bi2F6Uq/53set+MGvP8J4d5yEwgq+/H/fwfd+/iHyXYP3u/nkVDeunlOI/+f+OVAUDUfO9gAAfrPpOO5dWjPe6GNWHmxGoykXNTnJ/W9M+iDBgMsq7hAdgyjtscBDFCczSm6GbDCLjkFEaaLaOhMFnQOLGZqqwLt1nYBE4nWU1UKKDH8nHI0FkpSG9OgnG7oQNFcl5Vq+QBT3/8s2zJ2ai4Uz8sd1jk1/PostHzbjjUduwrSqnEFfE1NUGGUDjLL02WMNb+5qwpWzC2AxJ3dbmi0WxK2hblznaYDRMHyxluhSNfmLkMPV8EQTxgIPUZzYzDmYVnyj6BhElCZuMtwOaZDmGD2nDkBpaxGQSLzzRVMQ9Q9c0XSpUJgFHhq/mKLh8c2AYs5L+LW+/qOdaO0K49ffuxom4/g+cs+dmos9v1wxbIGoNC8LHx/vxLZ95wEAJXk2PPnyp/irFVPHdc14mOVvwlrHVORllQvLQOllbsUq0RGIdIEFHqI4qq9cA4l/rYhoBFc4boPNGx1wXFGi6N6Smb13AKDbXYZwSB32NcGgP0lpSK86usP4zQe50BI44vvFLSfxq41H8eNvLMCk0uxxn6eswA5HlmnY19y1pBqnW/xY+o3XccuiUnh9UVSXOJDjMCMSVcZ97YnyhDvxBUXGZZ56sAEzDSffMQllnjmiYxDpAu9EieLIYy9HTf4i0TGIKIWZJSvmBS8b9LnuT3ZD8/ckOVHq0LILR3xNIOBLQhLSu09OdWPzmSlIROHhbGsAX/33d3H3jTW4Jwk9cGorcvDJb1bi3SduwR8fvgH/9fuDuPPaStT/5Tq4l/0WP/rdgZFPkmD1uYkAACAASURBVCAyYrjafx4r3PXIMrmE5aDUdnnFStERiHSDBR6iOJtXtVZ0BCJKYbdm3wc5NHAseiwSgG/7xMYopzvVOvwEHoMcQyQy8L8d0Xi89WEbDoVmxfWcmqbhSw9vh8thxqP/c0Fczz0cV7YZ8+rycLLZD4vJgD9sPQlNA753/xx856cfoCcwcMVgMlUGmtFoKkCVc5rQHJR6bCYXaotvEB2DSDdY4CGKsxLXDJS4xIxiJaLUVmCqQGXX4EUM777tQDSzixeaPPxWFpNZ7E0q6c+zm1vRLsev6PDICwew5cPzeOTrDQhHFLR1hdDWFUI0piIaU9HWFYIvgcWWH/3uAL6+ZjoOnOjCjfOL8ber6hCNqTh8ujth1xytLCWA5eEeXONZANkw/LYzyhyzy26DkUNKiOLGKDoAkR7Nq/wCXu7aLzoGEaWY2yyNkAIDe8xEAl0I7HxbQKLUETVZoaomAEPf/MqmzC6AUWI8tqEb315eAUv41ITPtX7HGaiqhhXf3jzo88W3v4Av3jwJT33nyglf6/Pavb3FpLrKHATDCmxmI7KsvR/1g6Hhm5cn0xz/WZQ6pmFTtB3twbOi45BABsmI2eUrRMcg0hUWeIgSoCb/CnjsFejwT/zDIhHpw8ysq5DTOXBqFgB07XwTGGSiViZpK5sGwwj1G0kOJycMZZRITMUTW8z422vcMEQ7J3SuH351Hrp6Bv45/dZPdgMA/vWr9SjOy5rQNYbykz98gq+srAMA2K1GBMIx+IK9BVO7LbU+8ueFO/AFyYR33HOxr/MD0XFIkNqi6+Gw5IqOQaQrqfXdnkgnJEnC3IrVeOPgf4iOQkQpQNIMuC52HYCBFYyQ9zzCH/MG53zRZET8I038YYGHEqOlM4QXPirE2ukBSOr4/5zV1w5+s+rO/ggAsHheCQBg39FOfHS0E0vmFaPQYxv39S4IhGLY+2kHvvdA7ySiWZPceHHLSaiqBqtZxtRy54SvEW9GLYZrAy2ocM/Hm75PEIyK30ZGySPBgIbqu0XHINId9uAhSpBpJTciyzx8w1AiygxLcxph8g8s7miahq5trwpIlHp8rlJERhiRrmjBJKWhTLT/mBfbm2uRjJHef3z7JB54aDsOnfTG5XybdjbhS7dN6Xv8tdXTUJqfhWc3HcNj/2sh7LbU7XlTHTiHRnMxKpy1oqNQEk0uvBoee4XoGES6I2lahq8JJ0qgncd/g3eO/EJ0DCISKFv24C+VByFFB/bA8LecQMfvnhSQKvW8veYH8HWWDfsaU/Y+HD6yJ0mJKFN96cZ81Jj2iY6RcTQN2JNdgnc7PoSisaG6vkm4d+ETyM+eJDoIke5wBQ9RAs0uWwGTPPGl10SUvlZk3TdocUfTVHi3rBOQKDVpFveIr4lEA0lIQpnuqddb4TVxNUmySRJwua8Ja5zT4bYVi45DCVSTt5DFHaIEYYGHKIGsJgdmld4iOgYRCVJtnYX8Tsugz/WcOgiltTnJiVKXJjtGfE0o7E9CEiLg0Y1+RC2lomNkpPxQO9ZqFsx0Xy46CiXIgpp7RUcg0i0WeIgSrL5yDWRD6u59J6LEuUlaAWmQndCqEkXPlvUCEqWmiC0bUEf+PhkMssBDyREMK3hymxWqKUd0lIxk0mK4PtCKWzwNsBqzRcehOKrMnYeinDrRMYh0iwUeogRzWPMxs2SZ6BhElGRXOm6DrXvwPhLdn34I1ceJMRe0lE+HITxyS8BAgAUeSp6mtgD+cKAEmsRf0ogyyd+ERkspyrKnio5CcbKgmqt3iBKJBR6iJJhffTdX8RBlELNkRX3wskGfi0WC8G3bmOREqe18Qc2II9JlYwzRKBuvUnJ9+GkXdnZMFx0jozliPtwRDuCK3AYYJKPoODQBZe45KHXPEh2DSNdY4CFKgmyu4iHKKLdl3w85NHAsOgB49++AFgknOVFq8+WUIBIefkS60cziDomx7t0WnFJ5UyqSJAH1viasds6Ey1ooOg6NU0P1PaIjEOkeCzxEScJVPESZocBUgYquwSdCRYJeBN7fktxAaUCz54/4GtnIohiJ8+RrbegxTREdI+MVhtqwVrJjmmuO6Cg0RsU501CZWy86BpHuscBDlCTZ1nzM5EQtIt27zdIISRl8NYr3z5sBdfiVKhnJ4hrxJZI8+IooomTQNODRTSHEzEWio2Q8sxrBkmA7bvY0wGy0i45Do9TA3jtEScECD1ESNVQ1chUPkY7Ntl+NnM7BmwWHulsQ+mhXkhOlB9Uw8k2ahmASkhANzR+M4ZfvOaAZHaKjEIAp/iY0WitR4pgkOgqNoCB7MmryF4qOQZQRWOAhSiIHV/EQ6ZakGXBN9NpBn9M0DV3bNyQ5UXoIOtwwjGJEuqqFkpCGaHgnm/1Yf6QSYLPflOCMduPOSAQLPA2QJN7WpCr23iFKHn4nJEoyruIh0qelOXfD5B98G1Gg9RSixw8nOVF6aCmfMaoR6bEYV/BQanj/QAc+8M4QHYM+Y5A0NPibsCpnDpyWkft5UXLl2qswueBq0TGIMgYLPERJ5rDmY1bpraJjEFEcZcseTOuuGPQ5TVPg3bouyYnSx/n86hFHpANAJBpIQhqi0XlpewuaMFN0DLpEcbAVjYZs1Lpmi45Cl1hQcw8kSRIdgyhjsMBDJMB8ruIh0pUV9vsgRWODPuc7cxhKy7kkJ0ofoxmRDgChMAs8lFqe2NiBgLlGdAy6hFmNYGmwAzd6GmCWbaLjZLyC7CmYWni96BhEGYUFHiIBHNY8ruIh0olq6yzkd1gGfU5VYujesj7JidJMVt6oXhYI+BIchGhsFFXDY68rUMzcFpRq6vxNuCurGkWOatFRMtpVU77M1TtEScYCD5Eg86vvhtEw+E0hEaWPm6QVkLTBe8h0H/kQandXkhOlGXPOqF72/7N35+FRlef7wO9zzuzJZN9JQnaSQNjCIjsoKCIoFRdEEdu6tdVqtS7da3/W1lbbb6toq23Vtlhtq1VQERQNggioCMga9iX7Ppl9O78/IoGQbRJm5kxm7s915bpk5j0z94CEzDPv+zxWqyXAQYgGrs3ixD8+jYcsGZSOQueJdZqwxOXBpISJEPiWJ+iyE8ZjeOIEpWMQRRx+tyNSSLQ2EeOyr1Y6BhFdgGnRi6A3uXq8z+2yw/wRJ2f1Rxb7f2OsUrng8fTfp4dICYer2rH+RB4gSEpHofOI8GKypQZfixsLozZR6TgRRMD0wtuUDkEUkVjgIVLQhJyl0KmNSscgokHQCHpMsI3p9X7T3k8gOx1BTDT0mOPToPL2P25a0vY8nYwoVGza3YQ9FjZdDlXDbPW4QYpDYVyZ0lEiwojU2UiNKVI6BlFEYoGHSEE6dTQm5ixTOgYRDcJC4wqI9p4LDy5bOyyffBjkRENPXWYpBB9GpEsqFngo9L1SUY8GsVTpGNQLrceB+bYWXJIwCWpJp3ScsCUKKkwt+IbSMYgiFgs8RAobm7UYRl2K0jGIaABS1cOR3RrX6/2tn38AeHmkqD91STlwmPv/fRJE7oSioeGZd9tg1wxXOgb1odRSjaWGfKRG5SgdJSyNzlyIOEOG0jGIIhYLPEQKU0kaTMlboXQMIhqAK7RLIXh6Hu1tb2+Efdf2ICcamiwxqXA5+x+RLsMehDREF87l9uLZDwR41Oz3EsrinG1Y4vaiPGECAE558heNZMDkvOVKxyCKaCzwEIWA0oxLkchRnkRDwuioGYht6f1YUdvHbKzsK0Hv24h0j5cFHho6mkwO/OuLJMgijwGFMgleTLXU4mtx4xGlSVA6TlgoH34tDJred7cSUeCxwEMUAgRBxAxOGyAKeYIsYqZrVq/3WxtPwXnkQBATDXGaGJ+Wud3WAAch8q8DJ02oqC4Ed4eEvkxbHW5QJSI/dqTSUYY0gyYe5TnXKh2DKOKxwEMUInKTJiM7YbzSMYioD5fFLoPa0nPDX9nrRdvGNUFONMQJ/Y9IBwCnyxbgIET+t2FHIyodnNo0FOg9Niywt2FO4mSoRK3ScYaki/KWQy3plY5BFPFY4CEKITOK7oDAv5ZEIckoJaDYlN3r/ebqSrhrq4KYaGhrTRkOtUfyaa3dbglwGqLA+PuGBjSripWOQT4aZa7C9dFFSDb0/r2euoszDEPZsIVKxyAisMBDFFJSjAUoTr9E6RhE1IMro1ZAcLl7vM/rdcP0IXfvDERDRjEEZ/8j0gHAamOBh4aulWvNcGizlI5BPkpwtOBaj4BxCeXgETvfTM3/BkTRt4I9EQUWCzxEIWZawTcgiRqlYxDROfJ0o5Hc3Pvfy/Yju+E1tQYx0dBXm5jt04h0QIbVygIPDV0Olwd/rlDBq2bz2aFCggfTLXW4Kr6cTYP7kRozAkWpvfemI6LgYoGHKMQYdSmYMPw6pWMQ0TkuExZBkHvebeJxOdD+0TtBTjT0WYxpPo1IV2lc8Hr7X0cUyupb7PjvnnTI/ABnSMm21mKZOhk5MSVKRwlZM4vuhCBwpxNRqGCBhygETcpdBqMuRekYRARguvFK6EyuXu9v27cVsp1NgAdK1Ps2llit6f33nmgo2X2kFVvqi8FjP0OL3m3DIkc7ZiVO5g7r8xSnXYLM+NFKxyCic7DAQxSCVJIWM4vuVDoGUcTTCHqUW3v/4dVlN8OyZUMQE4URtdGnZYLkCHAQouBZu70Bx9ycrDUUjTZX4froYiQaMpWOEhI0kgEziu5QOgYRnYcFHqIQVZQ6C1kJ45SOQRTRFhlXQLT3PBYdANp2VABeX/rI0LlkQYAg+DZOVxBZ4KHw8rf3GtCmLlI6Bg1CoqMZ13kljIkfr3QUxV2UtxzR2kSlYxDReVRKByAKJTabDS+99NKArklJScHVV18NALBYLHjmmWeg1WqhUqkgimdrqLIsw+12w+l0YtGiRXj99ddhsVigVqu7rAOABx98EBqNBrNH3IVVW2+HV+YbSKJgS9PkIKs1DkDP/V8c5ibYvvik38eptjmRrlOzR8E5WtILoPFIcKH/720y7EFIRBQ8sgw8/a4VD16eAbWzWuk4NEAq2YOZ1npkx0/A++ZK2FwmpSMFXULUcIzLXqJ0DCLqgSDLvXSNJIpADQ0NSEkZWO+byZMnY+vWrQCAuro6ZGVlwWAwQBRFtLS0ID4+HhaLBYIgQK/Xw+Fw4F//+hd+/etfo7q6urPAIwgCmpqa0NTUBKfTCbVaDQCoOLgSX5x83e+vlSjc1R43Y81fjuDY3jaoNSKmXJGBS2/KhSj6Vmj5ZvRDiGmRcbqxAVkrlve45oOZI1EQrYPJ5cF3vjiKL1otuKcgHbflpQIAPLKMb3x2GC9MKIDIAk+nfeUL0Zh3I8wt/ffX0cbsw4FDnwUhFVFwDUs24M4pDRDckVcgCBcWlQEbJBEnTAeUjhJUS8qfQDZ3mROFJO7gITqHJEkAgBUrVuDFF1/sd70gCFCpzv41Sk1NhdPZcZzDbDbDaDRix44dePjhhxEXF4c//elPnWuvuuqqbo/385//HI888khncQcApuStwMHaD2B1cgQzka/qT1vx9P07IMvAnGuy4HbJ+ODVk/B6ZCz4en6/148xzERMS8fnH1v27wcAPHXntxEXFQUAcJibYd66Aanajr+r/z7diP3tNiwfnozHDp7GNZmJiNeo8HZNC+anxbO4c57ahGx4fBqRDrg8bGBN4amqwYo3DmTia4WVgOxWOg4NQpTbikUuYGfCJHzS8gU8cvg3hS9MncXiDlEIY4GH6BznFmt8daYo5C/nP55WHY1pBbfivX1P+PV5iMLZ6j8fgt3qwb1PTUBmQUcz35hEDf638hAmz89AYnrv/V8EWcQM90wAHcXaLfv3ITk2FnctuhIAIMte1L7xPNzDzvYeOGK2Y3JCNO4pSMfKI7U4bnUgXqPC/6qb8adxeYF7oUOUPToZaPdt9LnTaQ1wGiLlfF7ZgsykkZgYt0vpKDRIggCMs1Qj01iKda4GtNjC99idWtJhFoeAEIU0NlkmOsdgCjznX3PjjTdCEAQYjR1vKnNzc/Hqq6/iz3/+MwRBgCAInUe6fDUyYz7SYooHnI0oEtktbhz4rBmlkxM7izsAMHl+BtRaEV9+3NDn9ZfF3Ai15Wxj5Y/37cWsUWen3lhqjsBdfbLLNR5ZhkoQoPpqp47bK2NTowkT46OhlfhP7fl8HZEOADa7JYBJiJT35pZ6nJZHKR2DLlCyownXyxqMig/f3S2Tcm+EUTewVgZEFFz8qZPoHOc3Ox7MNVqtFhMnTsT27dsBAB9++CEWLFiAO++8s7OBs0ajGdBzCIKAOcV3A+AxD6L+1J20wOuRUTg2vsvtKrWI9NxonD7U3uu1MVIiituzOn9ttdux8+hRHK2tReFt34Bu8SKU3vsAfn2gChb32SNGqToNKs02bGtu/+rXaqw62YCbspP9/OrChMq3EekAYLWywEPh77l3m2DWFCgdgy6QWnZjjrUBV8RPhG4A3+eGgjjDMJQPv1bpGETUDxZ4iM4xmCk351+jVqthMBiQkZEBACgtLYXRaERiYiKys7MB9L1TyOPxoKfe52mxxRiZcdmA8xFFGmt7Ry+Lno5hGeM1aK7rfSrTIsPNEFxne2FsPXgAbo8Hda2tuG76TDx61eUYH6PHM0drceeOo53rFmckoMrmxA3bD+Hi5Fi0uz3INmgRo5bg9Pp2FClSeEQVREHn01pB8MJm4xEtCn9eGVi53gm3Jk3pKOQHedYa3KAdhkxjkdJR/GbOiLsgier+FxKRoljgITrHmWLNSy+91Hmcqq+vc685/zFOnDgBAIiLi+v2PJIkYdWqVd0e75FHHgEAOByOHvNNL7wVWlW0f14sUZg6UyDV6Lv3x1JrRdgtPTczzdePQXJL1911STExeOTG5fjiqafxi2U3YKm3BU+Ny8M9BenY2GjCrtaO3SX50Tpsmj0Ka6YW44UJ+fjrsXosSIvH/E37ULp+J/5yrM7Pr3LoasocAa3Htx8/VBp3jwVvonDUbnXhxW1GyPx3PixEu81Y7LBiasIkiMLQbnuanzwVOUmTlI5BRD4Y2t9tiPzsTHFm8eLF+NWvftXv+pKSkm4FnjNHtrZu3YqMjIzO41iNjY1d1hgMBgBARUUFUlNTuzxGb0e4DJp4TC+8DRv2/97HV0QUedTarwo7PdQFZBlwuXreUXMpFkI4bwLK6Nw8jM7taJLc8uUmyPaO3SQrhifjD4dr8FGjCWPiOiZrxapVGBOnwimrAxpRwDu1LZAB3FuQjl8dqMLSrCREq/zblH0oqksvhODwrWijUjv7X0QURo7XmPHOkeG4IucAIPs2aY5ClyAA5ZZqZMaMwnpHLVrttUpHGjCVqMWsEd9ROgYR+YgFHqJznCnWxMbGorh4cE2NBUGAy+XC888/j+nTpwMAsrKy8MQTT+C///1v55ozo9Dz8/ORmZnp8+OXDbsCB2o2oKp196DyEYW72CQtAKC51gaM6dqHx9zqhN7Q/Z++GcaroGvufbyty2GG+eP3On8d9VWhptrWvQDxl+P1uDU3FY/uP42ZSTH4ek4KflNZjaMWO0bHRg3qNYWT2rgsyGbfRkKLqp53MxKFs0/2NmNYwiiMNXKyVrhItTdiqaDHR/Fjsa9lp9JxBmRCzlLE6nl0kGio4BEtonP44yiAIAioqalBRkYGVqxYAQD45S9/iTVr1uDee+/1y+PPLb2P56CJepGUrocuSoUju1u73O71yDhV2Y6YxK475DSCHuOtZejJo6+8jIdf+BvavtgIeM5+mr6nrWMnT5K269/DFqcbzQ4XCqJ1sHu90Eki9F9N0bJ52IsH6BiR7nb5+L1WYIGHItN/N9WjVhipdAzyI7XswiXWRlyeMAla1dAo9sfqMzAxZ6nSMYhoAFjgITrHYAo8518jyzKys7OxYcMGLFiwAEDHkauFCxd27ui5UAlRWZiUe6NfHoso3IiSgLKpSdi9uQEt9WcbKu/4sA52ixsjJiR2Wb/IuAKiveejQNVNzfi/N/+HLzd+0HmbzePF4werAABzU2K7rH/xRD1W5HSMkDVIImweLyzujsJOlMTjWQAgaeP7X/QVr2wLYBKi0Pbs2hbYNLlKxyA/K7BU4wZdNoYZQ31qmoB5pfdDJQ1s8isRKYsFHqJzDKbA4z1vQo4sy9i4cWOPTZnnzJnjr6iYmHMDEqNy/PZ4ROHkkhtyIMvAcz/cid2bG/DxmtN47emDiEnQYPycjp5X1UfNOFzhhuZY73/vH1hyDTQCsOSTA/jBlyfw070nMW/TXmxvMePrOSmd/XeAjsLPPpMNE+I7GqSWGPV4v74Vvz9UDa0oIC9KG9gXPUQIA2gg6/H2PvGMKNx5vDKeft8DjyZZ6SjkZ0ZXO77msOOihEkQhdAs/pcNuwJZCWOVjkFEA8QCD9E5/LWDZ8qUKaipqen29dprrwHoXhQ6l8lk8ul5JVGFuaX3QeBfY6JuUjINuO3R0XA5vHjxF1/itacqER2nwdd/VoaomI5jVbs31+OZxz7CgePHe32cNI0Hr08uxPj4aLxZ04z/VjUhTavB02Nz8UhpVpe1GxvasDQrqfPX38xNRZpOg9eqmvDYqOEwsMEyXBo9RPhe6HK5OSKdIlub2YV/fh4PWTIoHYX8TBCAiZZqLIkZjVhditJxujDqUjCz6A6lYxDRILDJMtE5zhReXnrpJbz00ks+XePxdJ1yIcsyJElCdHT3T6n1en2X5+nJ3/72N6xfvx7PPvsshg8f3udzZ8SNxOisRdh16k2fshJFkvzR8fjBCxfh2L42yF4gtzQWKs3ZguhDd34d626Y3Ov1siyj9aO3McKoxwsT+t9KPz+t69GjBI0Kr0wuGvwLCEONmcXQeUVYfFzvdPKIFtGhU+14PyEP84btA8BeXuEmzd6ApWI0Nsal40BraDTWnlvyPWhULCoSDUUs8BCdw+3umOwykDHp5xd43G43Nm/eDKPR2Ot1515z/g6g6upqvPvuu51j1PszveBWHKnfArOjwaf1RJFEUokoGN2954sICTPdMwD0PobbUnsE7qoTAUwXeWpTC3wekQ4ANruvpSCi8LZxVxOGJZShVB8aBQDyL43XiXm2JmQnTEJF2x44PcrtXixJn4ecpEmKPT8RXRgWeIjOcabwMpAx6WeKQuf++qKLLsJ//vOfbms/+eQTXHfddXC73Z0FnP/85z+dzZhtNhvefPNNTJo0CcnJvp2516gMuLj4u1i96yc+rSci4LKYZVA19V7c8Xo9MFWsCWKiyFAXlwmx3bcR6QBgsZgDmIZoaHn5w3rcu6gUSZ59SkehABlhqUaaIQfvyXbUmI8G/fkNmgTMHvGdoD8vEfkPm3cQncPlcg34mvMLPC6XC1qtFpmZmd2+zhRtnE4nJk2ahNzcXNx///0oKSlBSUkJxo8fj5MnT+Lhhx8eUIb8lKkoTJk54OxEkShGSsQIU1afa8zH98DT3BikRJHDGZUIt9u3HTyC6IXdziNaROdaubYNdk3fx7dpaIt1mnC1y41JCRMhCMF9q3ZJyT3QqXvfgU5EoU+QB9NVloj8wuv1oqWlpcsxrbi4OKhUA99cZ3E046UtX4fDzU+8ifpyk/E+JDf3/nfM43Gi5u9PQLZGxvGgapsT6To1BEEI+HOtWfY0pPoYn9aqdXZUnvh3gBMRDT1JsTp8d3YbRFez0lEowKr1KVhvO4l2R+A/cChMnYWFo38a8OchosDiDh4iBYmiiMTERCQlJXV+Daa4AwBR2gTMGvFtPyckCi/5+jFIalH3uca0/9OAF3dcXhmF7+5A9jufd/uqaGgb9ONW2ZwYuf4LLN1W2aVwbHJ5sHz7IYxavxPPH63rvN0jy/jBnhMI1ic9AxmRrlIPfEclUSRobLPj1V0pkEXfJ9LR0JRhq8cNUiyK4soC+jw6dQwuLr47oM9BRMHBHjxEYWRkxmU4Uv8xjjR8rHQUopB0KRZCkHsvHLgdFpg/Xh/wHHtNVji8Mu4tSEdOVNc3aSXGwU0ukWUZ3999HF4Z+G3Z8C47cv59uhH7221YPjwZjx08jWsyExGvUeHtmhbMT4uHGITdO069EWpBAw9868EjSo4AJ6JAMplMMBqNQdkZFon2Hm/DxsQizE7dAwStREtK0HocuMzmQHbCJGxs+xIuj/+Prs4e8R0YNN0HEhDR0MMCD1GYmVv6PVRv2Qubq1XpKEQhZYbxKuia+94V0rprE+D2vQnwYH3WYoYI4Pa8VESrJL885osnGvBxUzt+OTIbWYauRaMjZjsmJ0TjnoJ0rDxSi+NWB+I1Kvyvuhl/Gpfnl+fvT31WKXRu30ekQ7AHMs6Q9cUXX2D9+vV46KGHut23e/dubN++HS0tLRAEARkZGZg7dy5SUlIG/DwmkwnPPvtsj/fdeuutSExMhMPhwJtvvonq6mpMnToVkyZ1TN7xer1Yt24drrnmmgE/L/nu/c8bkTm3DAWa3UpHoSAosVQjXZ+H9bIFdZbjfnvcvKQpKEmf67fHIyJl8YgWUZgxaOIxt/R7SscgCilawYDx1lF9rnFYWmD7bHNQ8nzWYsaoWIPfijtHzXb8+mAVpiUacVN2Urf7PbIMlSBA9dVuCrdXxqZGEybGR0MrBedHgdqU/AGNSPfK3MFzvv379+O9997r8b5PP/0Ua9euhcFgwMUXX4xJkyahtrYWL7/8Mszmgfdmq6qqAgDMnTsXCxcu7PIVHd1x1G737t1oaGjAuHHjUFFRAZutY2fBwYMHUVRUxN07QfDi+w1oUfk29ZOGvjhXG5a4vZiQMAGCH97GaVVRuKTkXj8kI6JQwQIPURgqSJmOkvR5SscgChkLjSsg2vvevdO27T0gSHMHPm+xwOr2Yt5He1H47g5M3LAbP9pzEk2Ogfed8coy7tt9HG6vjGszE7GurhUHTF238KfqNKg027Ctuf2rX6ux6mQDbspO9svrK12ZVwAAIABJREFU8UVdTAbsZt93R3kCcAxhqJJlGR999BHWrFmDqKiobvdbrVZ89NFHGDNmDJYtW4by8nLMnDkT8+bNg8PhwN69ewf8nFVVVTAYDCgvL8fIkSO7fGm1HTvEmpubkZmZiWnTpkGWZbS0tAAA9u7di5EjR17YiyafrXzXDKc2U+kYFCQSvJhiqcXX4sYiWpN4QY81o/AOROu6fyhAREMXCzxEYWrOiLtg1A18Wz5RuEnT5CKrJbbPNbaWGjj27wpKnhNWB+ocLjQ6XZiRFIOflGTikpRYvHKqEUu3VcLtHViR6Z8nG7Cj1QKXLONn+07h+7tP4NLN+/D1zw6jxdlRUFmckYAqmxM3bD+Ei5Nj0e72INugRYxagtPrDcTL7MZp8H1EOgA43dYAphlaGhoasHPnTlx99dXIycnpdr/T6cSUKVMwe/bsLrenpaUBACyWgTcNr6qqQlZWVp9rvF4vJEmCKIqdvz5+/DgyMzMHPTCABs7u9OC5jRp41X1/n6PwMsxWjxtU8ciP7Xt3am+yE8pRlnmFn1MRkdL4ry9RmNKqo3Fp6QN4bceDYANGimRXqK+HYOm9iCHLXrRtejtoeUQA9xdm4KqMeORE6TpvHxcXhQe+PIF1da24It23Zpd2jxe/P1QDtSDgj2NzsSAtDgCwtrYV9+w6hnt3HcNLEwuRH63DptmjcNziwOhYA+7ffQI3D0/G/E37cNhix8MjhuHW3NRAvNxOonZgbz4dThZ4zjAajbj11lthMBhw8ODBbvfHxcVh6tSp3W6vrq4GgAH34HG5XKivr4csy3juuedgMpkQHR2NkpISTJkyBRqNBgAQHR2Nw4cP49SpU52/rqiowOWXXz7Ql0gXqLbZhtf2ZuCaYhsEr1PpOBQkOo8dCzx27E2YjI9ad8Lt9e1oq05txGUjHwhwOiJSAnfwEIWx7MTxGJu1WOkYRIoZGzUbMa1971Cx1B2H69SxICUCsgxa3FOY3qW4AwDXZSbCIInY2Gjy+bG2N5vR5HTj+qxEXJEeD0EQIAgCFqTH44asJHzYYEK1rePNXqxahTFxUThtc0IjCnintgUygHsL0vGrA1Uwuz3+fJndCFL3o0V9sdkCO6p+KNHr9TAYBjZdzePx4NNPP0VUVBQKCwsHdG11dTW8Xi8sFguKi4tx8cUXIyMjA1u3bsUbb7zRua60tBQmkwmvvPIK8vPz4XA4EBcXB61WC48nsP8/UXe7Drfik4YSpWOQAkZaqrA0qhDJUdk+rZ9bch+idcE7oktEwcMdPERhbkbhbTjR9BlarKeUjkIUVCIkzHBNB9D7p9lerwemijXBC9UHQRCgl0TU2Hz/9L3F1XEEa3piTLf7CqI7Ckg1dicy9JrO2/9yvB635qbi0f2nMTMpBl/PScFvKqtx1GLH6NiBFWF8ZY1JhA4auOF7jyGrdeCNgemsjz/+GE1NTViwYEFnzxxf6fV6TJ8+HePGjessLI0fPx7x8fHYsmULampqkJ6ejsTERNxxxx1oaWlBWloa3nnnHYwbNw4vvPACmpqaMGvWLEycODEQL4968c62egy7bDSGS5ysFWnina24FhK2JpRjR/MO9LZ7e2TGfBSmzgxuOCIKGu7gIQpzKkmL+aMehiDwrztFlstiboTK0nexxHxyHzxN9UFK1GHVyQZ8f/fxbrfX2JxocrqRqPX9s5c0nRoAIPYwrKjuq6bSSVp1520tTjeaHS4UROtg93qhk0Tov5qiZfMErhdPfWYpdB7fJyqJkgcOR9ejBiaTCXKQmmAPdUePHsXWrVtRXFyMsrKyAV+fkpKCadOmdds1NH78eADAsWNnd7zpdDqkp6fDZDJBkiRUVlZClmVMmzYNFRUV3f4cKfD+sr4B7eqB7dqi8CDBg2mWOiyOGw+DJq7b/bH6DMwecZcCyYgoWPiOjygCpMUWY1LOMqVjEAVNrCoJI0x9T5XxuJ0wffhWkBKdZXJ58O/TTdjS1H42iyzj0QOnAQDzUrr/UN6bsbFRiFFJeL2qucvtZrcHr1U1IdegxXDD2d0bL56ox4qcjn4sBkmEzeOFxd1R2ImSeh7ZfrDdhls+PYRR63ei/P1deLKyGt4BFlrqknMhO2QcPrYDTz69Avf8YCJ++P/momLzy13W2Wzt+OOfb8e9D0/D9u3bO2/3er1Yt25dj4/Nwk9XTU1NWL16NZKSkvzeC+dM75329vZu93366aeYOHEiGhsbkZubi/Lycni93s7JWhQ8sgw8vc4OlyZd6SikkCxbHZapk5EbU9p5myhIuHzUD6BR6RVMRkSBxiNaRBFict5ynGj+HLVt+5WOQhRwi/Q3Q2jueyS3qfJzyAocA1qWnYQXT9TjG58dxsL0eBhVEj5uaseBdhsuS43D5V81St5vsmJ/uw0zkmKQfM4unHNpJRE/KsnEw1+ewLJtlbgsNQ5mjxevnGpErd2F58vzO9faPF7sM9nwvcIMAECJUY+3a1vglWVoRQF5Ud2P8Rw123Ht1oPwysDtealwer3409FaeGQZV2Uk4FcHTuOzFgu0ooBl2cn4XmE6RKH7Tp266HSc2r0d//fsN2GMTsAV876F1rY6vPq/xyDLMhqbT2PXng/R3FIDWfYiIz0HH374IcrKyqDX67Fnzx6YTCb84Q9/wNSpUzFp0iQAZws/11xzzQX/uYQDs9mM//znP1CpVLjmmms6CzIDtWXLFjidzm5Tuerq6gCg284em80Gq9WKxMREuN1uqFQqqNUd/8+6XL4fyyP/sdjd+NuWKNx+kRGCu3tBjsKf3m3DQrcNuxMmY3PrF5iYsxTpcaX9X0hEQxoLPEQRQhJVWFD2I6zaegccbjYvpfBVoB+DpBY1+poe53baYN7U846QQItVq/D6lGL8+sBprKtrhdMroyhah1+OzMaN2UmdBZK1ta34v8M1eHVyUa8FHgC4ISsJaVo1/nK8Dr87VA2HV0Z+lA7Pl+djXurZ3UAbG9qwNCup89ffzE3F560WvFbVhMdGDYdB1X0Hz/87cBpmtwerp5ZgVGzHm/pUrQY/2XsSfz/RAKB74efBEcO6PY7TkIB/vvptaNQ6PHD3P5EQ37GzQKXS4D9vPg6txoCLZy5H5eHtaDc3oaW149hcXV0dcnJysH37dtjtdowbNw4VFRWdhZ+DBw+iqKgIQg9FpUhjNpvxr3/9CzabDTfccANiYrr3ZRrIY+3evRtlZWVITEwE0FGo2bhxIwCgoKCgy/rPP/+88/iWWq2Gy+WC09lxPHKwRSa6cKfqLVhdmY2r8g8Cct8Fbwpfoy1VyE6di4S8m5SOQkRBwAIPUQSJ1adjbun9eHv3L5SOQhQw87AQgtz3roG2XZsAt3I7C4bpNXhqXF6fa+4rysB9RRk+Pd6clFjMSel7DPn8tK6j1xM0KrwyuajX9e0uDzY2tOGSlLjO4g4AXJ+ViJ/uPQmz24O3pnUt/Px030kszUpCtqHrbqCG+kZU1VTi4pnLO4s7ADB65Bys//BvmDh+ARbN/w7+8WodEuLTMWFiGVb+6TGcPHkSQEeRIDk5GdOmTcPWrVvR0tICvV6PvXv3YvFiTgoEgDfeeAPNzc0YNWoUmpqa0NTU1HmfwWBAbm4uAKC+vh4NDQ3IyclBVFTPTbUnTZqEvXv3YtWqVRgxYgQkScKRI0fQ2tqK8vJypKef/TM8M1J9+vTpAIDk5GQcPHgQsixDpVIhPj6+x+eg4Pj0QDOGJYzEhLhdSkchpUgGJBbcDEHo+RguEYUX9uAhijBFqbNQNmyh0jGIAmKmcTF0pr4LN05rG6yffhSkREPXYYsdbhmYmmjscrvDI8MDIFWn7lb40Yki1tW2dnus2uqO/kLFhZO73C5JHZ8ztZk6dgPFxaaguvYQaupPAOgoTOzcuRMJCQmQJAmi2PFji9frxfHjx5GZmQmVip9Vmc1mVFVVAQD27NmDt956q8vXJ5980rm2srISb731VpcC0Pni4uJw0003ISMjA/v27cOXX36J6OhoXHnllZg7d26XtceOHcOYMWM6fz1hwgQYjUbs3bsXl156KXfwhIA3ttSjCqOUjkEKEYtugcCR6EQRgz8VEUWg2SO+g5q2vWg0H+t/MdEQoRUMGGcZCfQzirt1+3sdXUipT63OjiMd5+/GOWyxAwBU5x2L0ogiimP0+NJk7XK7OT4dzvaOXkdJiVld7svMGAFRVOHgoW04cWoPxpbNxYaNf8frrx+AKIpITk6G2WyGJEk4fPgwTp06BQCIjo5GRUWF35sIDwVXXHEFrrjiii63RUdH46GHHvLp+unTp3futulLcnKyT72Nioq67gIzGAxYunSpT1koeP68tgkPXZWPKOcRpaNQEAmpMyEmT+5/IRGFDe7gIYpAKkmDBWU/gUrUKR2FyG8WGW+B6Oi7uGNrrYVj7xdBSjS0nRmaHiV1/VHhTOHH00ORLFmjxilb17HYdZklUHk61mo1XZvzqtVaDMsohNvjwq9+fz1++eQS2B0WJCYk4pZbbsGePXtQVFSEAwcOoL6+Hq+88gry8/PhcDgQFxcHrVYLj8fjp1dMFL68MvD0ehfcmlSlo1Cw6NMhFrDvDlGkYYGHKEIlRg/HnOK7lI5B5BdpmlxktvTdVFaWvWjb/E6QEg19+q8KO+eXcc4Ufjw9bILSSyLaXV0LLrVJudB8VUyWe2h83dpaB7fbieFZozBt8hIU5JWjqbkJFRUVEAQBlZWVkCQJU6dOhSAIWLhwIT777DMUFRXhhRdewO9//3t8+umnF/pyicJeu9WFv2+PgSz13HuJwoighlTyLQhS9+mIRBTeWOAhimCjhl2O4rRLlI5BdMEWaq6H4PX2ucbacBKuEzye4Ku0ryZ3nbJ23ZFzpvCjl7r/COGVZTi8XYs4ddEpiNJ1TO9qajrd5b49+zeh3dyMtJRc/OB7r2L59b/A9+/6O66/fimOHj0KjUaDxsZG5ObmYvLkyZBlGadPn4YkSaisrIQsy5g2bRoqKirgcHTNSUTdHa02Y+2xHIANd8OaWHAjhOjhSscgIgWwwEMU4S4puRdx+u5jjYmGinFRs2Fs6bu4I8tetH24OkiJwsPwKC1iVBK2Npu73J6s7Wjf11OBp9HphvG8cetufQKGpRd37MY58lmX+3Z+uQEAUJBX3uX2zMxhUKvVqK+vh9vthkqlglrdUXD68ssvMXHixM7CT3l5ObxeL1paWi7sBRNFiC17mrG7nU2Xw5WQMg1i+hylYxCRQljgIYpwGpUBC0b/GJKgVjoK0YCJkDDd2X/D2PaT++FprAtCovAhCQIuTY3D2toWVNmcnbfvarUAALRi1ybLHlnGl21WpOq6fi+R1DEwRiegIG8Ctmx/HTZbe+d9VTWVAIDCvAln10sebN26FSqVCl6vF2q1Gi6XC05nRwaXy4XExMRuhR+XS7mx90RDzb8/qkedOFLpGORvhkyIhSuUTkFECmKBh4iQGlOE6UW3KR2DaMDmx9wIldXZ5xqvx4n2ijVBShRe7spPgwxg+aeH8G5tC/5xogE/3XcKOlFApdmOKpsT+01WvF7VhH+eaIDJ7cGspK69kCRJDwC4cv5daDM14Knn78SX+zbi3fefx/GTXwIAmlqqOtd7YEJlZSVsNhvS09ORnJyMI0eOYPPmzRBFEZMmTQKAboUfjuMmGphn17bApslROgb5i6SDVHo3++4QRTiOSSciAMD47CWoad2HyroKpaMQ+SRWlYQiUyYAd5/rTIe+gNfc3uca6lletA4vTSzAfbuO4/YdRwEAww1aPDRiGL6/+ziWf3oIxdF6vFXbAr0oIkWrxuKMBADAfpMVnwvR0La1QYNYFOZPwG03P4mX//sLrPzLtwEAGWmFMLU3YvXap/DpjncQH5eG6rqDaG1thF6vx0UXXQRBEFBdXY09e/YgOTkZOTk5ADrGeB88eBCyLEOlUiE+Pl6R3yOiocrtkfHsB8A9FydBcjYqHYcukFh0KwRDmtIxiEhhgiz3MOeUiCKSy2PDv7bfjSbzMaWjEPVrufE+JDX3/TmF22lD7Uu/hexkA94L4fLK+LzFDC+A8rgoaCUR25rbcd+u4zj11fGt4QYt/jg2F+PiOib0/K6yGv93uAY//NE/kZ04rvOxnE4bjhzfCbVai7zhY9DUUo3Va5/CwUPbYLa0QqfTIS0tBTNnzkRq6tmRzmemaeXn5wMArFYrVq9ejfr6esyZMwdlZWXB+w0hCiNFWUYsH3sKgsemdBQaJGHYpZDyb1Q6BhGFABZ4iKiLVmsVXt72LTjcFqWjEPWqQDcOC82XQujnn7Cmz9+HdeuHQUoVeXoq/Jzro7m3Q46dA0ub7/1xDPEnsfdAhX+DElGfZo9NwtyMvQD6blhPISimANLoH0AQeTCDiNiDh4jOE2cYhvmjfgBA6HctkVIuxYJ+iztOWxus2zcGKVFkUosCLko0YmqisVtxBwDqDCmwm/s+Qnc+r2z3Vzwi8lHFzkYcsHMX3JCjNkIq+Q6LO0TUiQUeIuomL3kKLspbrnQMoh7NNH4N2vb+d4S0bd8AePlptJLc+jh4PAPbKOx285gIkRL++UE9mqQSpWOQzwSIxXdC0CYoHYSIQggLPETUo4vybkZu0mSlYxB1oRUMGGcp7Xedva0e9j2fByER9UWlNg74GqfLGoAkROSLlWtNcGizlY5BPhCHfw1i/CilYxBRiGGBh4h6JAgC5o/6IeL0w5SOQtRpkfEWiI6+d+/IsozWze8EKRH1xitKkET9gK9zOFjgIVKK0+3FnyskeNWcShfKhKQJELKvVDoGEYUgFniIqFc6dTQWjX0EakmndBQiZGjykNkS0+86a8MJuI4fCkIi6ktLej6MUA/4OqvNHIA0ROSr+hY7/v1lKmRRq3QU6klUNsQRt0MQ2CuRiLpjgYeI+pQUnYt5pd9XOgYRFqivg9BPTx1Z9qCtYk2QElFf6tKLoPUM/A2I1coJfkRK23O0DZtrR4ADF0KM2ghp5D0QJBbfiKhnLPAQUb9GpM3B+OxrlI5BEWx81BwYW/tvmGw+XQlPQ20QElF/auOzIdsH1uRaUrvgdg9s6hYRBca6zxpwxMXJWiFDkCCV3AVBl6R0EiIKYSzwEJFPZhTdjuyEcqVjUAQSIWGac1q/67weF0wfcvdOqKgzJMNu9gzoGrW6/+loRBQ8L7zXgFbVCKVjEACxYDmEuGKlYxBRiGOBh4h8IgoSFo7+KRKiOF2Dgmt+zE1QWZ39rjMd3glve1sQEpEvvLrYAY9IF9X9/zkTUXCtXGeBS8uBC0oS0i+BmD5H6RhENASwwENEPtOqo3HV2F9Cr45VOgpFiFhVMora+n9j4XbZYf5obRASka9U6ugBXyOIjgAkIaILYXN48PwmHbz8t18RQmwJxIIblY5BREMECzxENCBxhgwsGvsLSOLAp+MQDdSV+psh+NCTxbRnC2QniwOhwiOpoR7EiHQZ9gCkIaILVd1oxf/2ZUAW+G9/UOmSIZbeBUGQlE5CREMECzxENGDD4kZhXun9SsegMFeoG4/EFlW/65w2EyxbPwxCIvJVU+YIGIX+/+zO5/HaApCGiPzhi0Ot2NZUonSMyCHpII28F8IgdkMSUeRigYeIBqUkfR4m596kdAwKY/OwAILcfw+Xts8/BPoZn07BVZdWCK174OOV3R4WeIhC2VtbG3DSO1rpGBFAgFh8B4SoTKWDENEQwwIPEQ3alPxbUJQ6W+kYFIZmGa+Gtr3/hrv29gbYd20PQiIaiNr4LMi2gRfdnC5rANIQkT89v64B7epCpWOENTH/RoiJ45WOQURDEAs8RDRogiDgspEPIS2WW7bJf3RCNMZa+v9/SpZltG1mY+VQVKdLhG2AI9IBwG5ngYco1Mky8PR6O9yaNKWjhCVh2HyIw+YpHYOIhigWeIjogqgkDa4c8wvE6FKVjkJhYpHxZogOV7/rbE2n4Tx6MAiJaKC8ulh4vQMbkQ4ANpslAGmIyN8sNjf+9kk0ZBX7w/iTkDQRYt5SpWMQ0RDGAg8RXbAobQKuGvsoNJJB6Sg0xGVo8jGsJabfdbLXi7aKNUFIRIOhkgb+pk+WZVitLPAQDRUn6yx469BwYBAN1akHMYUQi2+HIAy8fxkR0Rks8BCRXyQZ83DF6J9A5ChPugAL1NdC8KFhsrm6Eu66qiAkooFyafTQSdoBX6fWuOHxDPxYFxEpZ9v+ZuxoG6l0jKFPn9YxMUvUKJ2EiIY4FniIyG9ykiZhXun3AfDTJxq48dEXw9jaf3HH63XD9CF374SqhqxSGDHwT/RVmv6bahNR6Hl9cz2qMUrpGEOXOgbSqPs5Dp2I/IIFHiLyq9KMSzG98FalY9AQI0LCNMdUn9a2H9kFr6k1wIlosOpT86H1DLzIK6ocAUhDRMHw53ebYdXkKR1j6BE1HTt39ClKJyGiMMECDxH53cScpRiffY3SMWgIuTxmOVTW/ndweFwOtG98JwiJaLBqYofBO4gR6YLIAg/RUOXxylj5ngceDQsVvhMgFn8LQky+0kGIKIywwENEATGz6E4Up12idAwaAuJVqShsy/Bpbdu+TyA77AFORBeiTpcAu9k94OtksMBDNJS1WZz4x6dxkDlwwSdi/o0Qk8YrHYOIwgwLPEQUEIIg4NKRD2J44kSlo1CIW6i/CYK7/4KAy94Oy5YPgpCILogmBj70ye7G47X5PwsRBdXhqnasP5EHcOBCn4SsRRCHzVM6BhGFIRZ4iChgJFGFRWN+hrSYYqWjUIgq0pcjsdm3NwKtn1cAXk5ZCnUqVdSgrnO7WeAhCgebdjdhj4VNl3sjpM+BlMtj7EQUGCzwEFFAqSU9Fo97DPGGLKWjUAiaK1/u08w1R3sj7Du3BjwPXRiHIQYGSTe4a51WP6chIqW8UlGPerFU6RghR0iaCLHgZqVjEFEYY4GHiAJOr4nF1eMfR5Q2UekoFEJmGa+Gtt230ditn6wLcBryh4bMUsRgcEcz7A6Ln9MQkZKeWdsKu2a40jFChhA/CmLxnRAEvv0iosDhdxgiCooYfSquHvdraFXRSkehEKATojHWUuLTWmvjKTgP7QtwIvKH2pQ8aNwDH5EOAFYrCzxE4cTtkfHsBwI8an64A2M+xNLvQhBVSichojDHAg8RBU2SMQ9XjX0U6kEe4aDwsci4AqLD1e86Wfai7aO3g5CI/KEmNgNe+yA6LMPLAg9RGGoyOfCvL5IgixH8735UFqRR90OQtEonIaIIwAIPEQXVsPgyXDn2UUiiRukopJAMbSGGtRh9WmupPgx3zakAJyJ/qdfEwzaIEelqrRuyLAcgEREp7cBJEyqqCgGfOq6FGX0qpLIHIKgH13yeiGigWOAhoqDLThiHK8c8AklUKx2FFHCF6hoIPszR9nrcaKtYE4RE5C+C1gh5EBt4JLVvvZiIaGja8EUjKh2jlY4RXNpESGUPQdDEKp2EiCIICzxEpIicpEm4ouynEAWeR48k5VGXILrVt1Hn7cd2w9vaHOBE5E9qaXCfUksqFniIwt3fN9SjWVWsdIzgUMdCGv0gBB37DxFRcLHAQ0SKyU+ZisvLfsiJEhFCggpTnVN8WutxOdC+cW2AE5E/WWMSETXYHhOC3b9hiCgkrVxrhkObpXSMwFIbIY1+AII+TekkRBSB+K6KiBRVlDoL80c+DIHfjsLe/JiboLL6tlOjbf82yHZrgBORP9VlliJGGNyIdFlmgYcoEjhcHvy5QgWvOk7pKIGhNkIqexBCVJgXsYgoZPEdFREprjj9EswrvR8R2YAxQsSrUlHYlu7TWpfDDMuW9wOciPytPiUPGtfg/g57WOAhihj1LXb858s0yOE2bEEV3VHcic5WOgkRRTAWeIgoJIwcNh+XlNyjdAwKkEX6myC4feu907ZjI+DxbS2FjuroNHhtgxmRDrhc3K1FFEm+PNqGLfXFCJsPdlTRkEY/xOIOESmOBR4iChmjMxdh1ohvKx2D/KxIX46EZt+O7jjMzbDt2BLgRBQI9Zq4QY1IBwAHCzxEEWft9gYcc5cpHePCqaI6GiqzuENEIYAFHiIKKeOzl2B64W1KxyA/mitf7vNntK2frAtoFgocUWOELA/uWrvN4t8wRDQk/O29BrSpi5SOMXiqqK927gxXOgkREQAWeIgoBE3MWYoZhXcoHYP8YLZxCbTtvjVWtjVXw1m5J8CJKFA0kn7Q11qsLPAQRSJZBp5+1wqXJkPpKAPH4g4RhSAWeIgoJE3IuQ5ziu9G2JzPj0A6IRpjLMU+rZVlGa0fvRXgRBQo7YkZiBnkiHRB8MJut/k5ERENFTaHB3/5WA9ZFaN0FN+por5qqMziDhGFFhZ4iChkjc1ajHml93OE+hB1pXEFRIfLp7WWmsNwV50IcCIKlPphxYjB4EakqzQuyIM920VEYaGqwYo3DmRCFtRKR+nfmeKOMUfpJERE3fBdExGFtFHDLsf8UT+AKAzuzSMpI0NbiIwWo09rvV4P2irWBDgRBVJNYi7U7sHttlNpfCsCElF4+7yyBZ+2lCodo29qI4s7RBTSWOAhopBXnH4xFpT9BNJQ+GSPAABXqK6B4PVtZHb78S/hbWkKcCIKpFpj6qBHpIuSw89piGioWr2lHqfkEJ2spYmHNOaHLO4QUUhjgYeIhoTC1BlYNOYRSKJG6SjUjwlRcxHd6vFprcftRHvF2wFORIHWoI4d9Ih0CHb/hiGiIe35dxth1hQoHaMrXQqksT+CYBiCzaCJKKKwwENEQ0Zu8mQsHvcY1JJO6SjUCwkqTHFe5PN604HtkG3WACaiYBBV0YMeke4FCzxEdJZXBlaud8KtSVM6SgfDMEhjfgRBl6x0EiKifrHAQ0RDSnbCOHxt3K+hUUUpHYV6cHnMcqisvo1FdzksMH/8XoATUTBcyIh0j4cTtIioq3arCy9uM0JWRSvHDu8IAAAgAElEQVQbJDq341iWNk7ZHEOA1WrF4sWL8eMf/xhOp28/BxCR/7HAQ0RDzrD4MiwZ/xtoVb418aXgiFeloqDN909c23ZuAtyDPNZDIaM1NQdxqsEfnXS5WeAhou6O15jxzuHhgFJDFmKLIY1+CIJa4SJTgN1+++0oKirCnj17Bv0YZrMZl19+OVavXo3HH38cTzzxhB8TEtFAsMBDRENSWmwxrpvwO0RpE5WOQl9ZpL8Jgtu33jsOSwtsn28OcCIKhrqMwY9IBwCHg0f0iKhnn+xrxk7TqKA/r5AwBtKo+yGoBr87caiwWCyoqqpCcXHxoK7ft28fZsyYga1bt2LVqlX473//i0cffRRLly5Fc3Ozn9MSUX9Y4CGiISvJmIelE59CvCFL6SgRb4S+HAnNvr/Jb9u6HoNu2kIhpTZxONSuwY1IBwCb3eLHNEQUbv67qR61wsigPZ+QPAli6XchSJEx1EGSJCQmJkKlUg3oOq/Xi6eeegrl5eU4ffo01q1bB0EQUF9fjw0bNuCDDz5AcXEx/vGPf8Dr41RNIrpwLPAQ0ZAWo0/F9RP/gPTYEqWjRLRL5Mvh61t8W0sNHAd2BzQPBU9NVMqgR6QDgNVq9mMaIgpHz65tgU2TG/DnEdJmQiz+FgRxYMWOUDd79mwIgtDj1z/+8Q+cOnWq1/vPL/zIsozVq1ejvLwc3/3udzFy5Ehs27YNs2bNwsqVK/HII49g0qRJ2Lp1K0pKSnDzzTejoKAAv/vd73Dq1CmFfgeIIgcLPEQ05Ok1sVhS/gRykyYrHSUizTFeA227bw0VZVlG60dvBTgRBVODygibZXC9lETRC7udU7SIqG8er4yn3/fAowncJCsh+0pIRd+EIITf2yOdToeMjAzs37+/21dhYSEmTJjQ432LFy+GwWAAALS1teF73/se8vLycNVVV6GyshK//e1vMWXKFOTn50MURWzevBlVVVVQqVTIz89Hbm4uXnjhBTgcDtx///3Izs5GdnY2jh49qvDvCFH4Cq/yNBFFLLWkw5Vj/h/e3/877K1+V+k4EUMvRmO0ZQQAl0/rLXVH4T59PKCZKLhU6sGPSFdpfPv/hoiozezCPz+Px81jLRA8/uzdJUIsXAExfbYfHzO06HQ6qNXqbn12duzYgcOHDyMhIQGvvfYa7r77bsTExHTeHxsbC1EUO/+7paUFJ0+exLJly/DYY49h+PDhaGxsxIoVK5CSktJZDNq3bx/q6+sxc+ZMpKSk4LrrrsPKlSuxcuVKjB49Gnl5ecF78UQRJvxK1EQUsURRwqUjH8Ck3BuVjhIxFkXfAtHh25t0r9cD04drApyIgskrStBKukFfL6kdfkxDROHu0Kl2vH8yD357CyNqIY68J6yLO72prq7G0qVLkZeXh/vuuw9PPPEEcnNz8Yc//AHuXiZc/vKXv8SuXbuwatUqDB8+HACQlJSEJ598ErNnz8a2bdtgMplwyy234L777kNUVBQAwGAw4IEHHsDRo0fxwgsvBO01EkUiFniIKOxMK/gGLi7+LgR+iwuoTG0hMlp8Hx9rPrEXnuaGACaiYGtOL0DCBTQiFSUWeIhoYDbuasI+qx8ma6ljII35AcTEsRf+WENIe3s7/vjHP2L06NHwer1Yv349fvjDH+Lw4cNYvHgx7r33XkycOBEmk6nbtcOGDcOoUaNgMpmQlpbWOQ797rvvxiWXXIKFCxeirKwMw4cPxyeffIKoqCj8/e9/h0qlwr59+yCKIhITOf2UKJD47oeIwtKYrKtwxeifQBLVSkcJW5erroHg42QMj9sJU8XbAU5EwVafUQTjBYxIh8ACDxEN3MsVDWiUSgf/APo0SGN/AsEY+MbNocTtdmPZsmW45557MHfuXGzbtg1msxkbNmxAQkIC/vrXv+Kpp57Cbbfd1uWo1vl0Oh3q6upgNpuxa9cuPPfcc3jzzTexZMkSfPOb38SOHTtw7bXXYs+ePfB6vfB4PNDrw3/kPFEoYA8eIgpbhakzoVfHYvWun8Dh5ihmf5oQNQ/RrR6f15sqP4PMaUlhpzY+C2qXgMGWabwyGywT0eCsXNuGhxYOh855YmAXxhRAGvk9CGrfd6CGC5VKhX/+8584duwYxo7t2Ln04x//GC+99BK2bduGsrIy3HXXXf0+zpm+PGazGdHR0UhPT8eGDRuQnNzRBPuuu+7CK6+8gsTERLS1tQEABMHXWZtEdCFY4CGisJaZMAbXTfwj3tz5Y5hsNUrHCQsSVJjinAzAt8lZbocV5k3rAxuKFFFtSMawCxiR7vba/JiGiCKJy+3Fnz4U8d3ZCRBdzT5dIySWQyy+E8IFHC0d6mJjYzuLOydPnsSLL76In//85ygrK/P5MSyWjg/NnnzySTz55JMAgF//+tfd1v3sZz/r/G+r1Z+NsYmoNzyiRURhLyk6BzdMehoZcX44s09YELMcKqtvxR0AaNu9CXBzWlI4apSiYR/kiHQAcLn4Az8RDV5jmx3/2pkMWey/2buQMRdi6V0RXdw5lyzL+Na3vgW73Y41a9Zgx44dPl3ncrlgs9lQU1PT5evUqVPIy8vDjBkzut1XU1ODhIQEFnmIgoAFHiKKCAZNHJaU/xYl6fOUjjKkxavSkN+W5vN6p6UV1k83BTARKUmlGvyIdACwO/jDPhFdmP0nTNhYXQSgtyNAAsS8GyAVLIcg8K3PGT/+8Y+xbt06PPPMM/B6vZg4cSLuuOOOHpsrn2vHjh1IT0/v9pWVlYWjR49i06ZNPd6fnp6OVatWBenVEUUufpcjooihEjWYP+phTCv4Jnr/QZD6cqX+Jghu33vvtG5/DxdUAaCQ5ZHU0F/AiHQAsNvZG4uILtz7OxpwyDm6+x2SDuLIeyFmzg9+qBDlcrlw11134bHHHsMTTzyBb33rW9i8eTMef/xxvPDCCxg9ejS2bNnS6/U6Xcf3/U2bNkGWZciyjLfffhsqlQqrVq2CLMtYu3YtfvOb33Te397e3uVaIgocFniIKOJMyl2GhaN/BpUPW7rprBH6CYhv9v2fDVtrLRz7dgYwESmpKbMYiaoLm1JnsbDxNhH5x0vv16NFVXz2Bm0SpLE/ibgx6P25/fbb8cwzz+Dxxx/HvffeC6CjafL3v/99VFRUICoqCunp6b1eL0ldJyf+9a9/xZIlS3DrrbciMzMTr776Kp5//nk8+OCDnWPUz2CjZaLAY5NlIopIhakzEKNPxeqdP4HZ0ah0nCHhEnk+BB8bK8uyF22bOBY9nNWmFSIGKth9/H/ifKLogdM5uGuJiHqy8l0zHlyQCY1OD6n0uxA0vY/6jiRe79lm+M899xy+8Y1vYMaMGd3WTZ06FTt37oRarYbX60V1dXXnxKyeHgsAXnvtNdjtdvz1r3/F2rVrO49jzZs3Dw888ABmzZqFkpKSwLwwIuqGBR4iilipMUW4YdJKrN71U9SZDiodJ6RdbLwW2mbf34xb60/AdfJoABOR0mrjM6G7gN7ZKi2LO0TkX3anBx83T8bc+YsgiHybc4bD4ej8b7Va3WNx54xTp05h+fLlOHbsGGpqajBnzpwu93s8XY9pP/PMMxBFEZmZmV2KQS6XC2+//TZaWlo6e+/wiBZR4PGIFhFFtGhdEq6b8HsUpsxUOkrI0ovRKLMU+bxe9nrQVrEmgIkoFNTok+CxDn5EukrNAg8R+Y8oili4cCHmLfgaizvnObfA05+8vDykpKQgLS0N99xzD15++eUu958/CSsnJwfZ2dnddvqo1WosXrwYb7zxBu68806kp6djypQpg38RROQTQZbZ/ZKISJZlfHLkRWw7tgoAvy2e6/qYu5DRZPB5venEHrS99a8AJqJQ8LslT6K4LXnQ10fFN2DPgbV+TEREkcpgMGDZsmUoKChQOgqdp6mpCa2trcjNze1WBCIi/2N5m4gIHY3/phZ8HSkxhVi39zdwujndBwAytUVIb4kG4NtODa/HifaKtwIbikKCSuV70a9ndr/kIKLIlpqaiptvvhmJiYlKR6EeJCYm8s+GKIhY4CEiOkdBynQkRA3Hml0/Q7PlhNJxFLdAtQSC1/ex6KbKHfCa2wOYiEKBS6NH1AWOSPfILPAQ0YUZOfL/t3ff8VGVef//X1OSTDqEJBA6hBYMYDBiIl1ASAhFxIIgooCo665ldb1Rf7qu/kTZVbEXwHtBxAVBBAugIKCCisCuUgKC9NADqZPJ1O8f3MwaCSVkkskk7+fjMQ/MmXOu8zkRhXnnuq7PZdx4442EhIT4uxQRkRpB8+RERH4nJrwZt1z1Ou0a9vF3KX51ZcS1hOddfLjjtFsp/GZ5FVYkNcXxZh2JNQdXagyXy3rhk0REymEwGOjXrx9jxoxRuCMi8hsKeEREyhFkCmVw5/+PXu3uwmgw+bucamfCTFpptwpdk795HTi0cW5dcLRRGyKp3H8XdkeJj6oRkbrEYrEwevRoBgwYgMFg8Hc5IiI1ipZoiYicxxUtbqBhZDs+2/w0Vvspf5dTbTKjxmLOvfiwxl6Sj3X9miqsSGqSI9GNiXBUbhed0lLtcyUiFdO0aVNGjRqlPV1ERM5BM3hERC6gaUwXRl/1JgnRHf1dSrWICWpEYn7DCl2Tv34FuC+9ZbYElkMhDXBaL375XnmsJQp4ROTiXX311dx1110Kd0REzkMBj4jIRYiwxHFD6kt0aTbM36VUuSGWMRicF//h3ZZ/DNuWTVVYkdQ0ucYwSoorGfBYFfCIyIVZLBbGjBnD0KFDMZu1+EBE5Hz0f0kRkYtkMpq5psOfaBSVxMrsl3C6S/1dks91CL2S+icvPvv3eDzkfft5FVYkNVFwJVukG81OHA6Hj6oRkdqqWbNmjBo1ipiYGH+XIiISEBTwiIhUUMfGA4iPasPnPz9DbvFef5fjU/08AzFw8XvvWI/vw7F3ZxVWJDVNaVgUkabKda0JCla4IyLn16NHDzIyMjCZ6l6jAxGRS6UlWiIilyA2ohW3XPUGnZpk+bsUn7km8gaCCy8+3PF43OSv/rQKK5Ka6FizjsRVskW6KUjd1kSkfKGhoYwdO5asrCyFOyIiFaQZPCIil8hsCqF/xwdo3qArK7a9SKmzyN8lXbIwYxSditoBFz+zoujAdlzHD1ddUVIjHY1PJAIjNi59Dx6DsTL9t0SktmrevDmjRo2ifv36/i5FRCQgKeAREamkdg170yiqA0u3PMuhvC3+LueSDIm4DWPuxYc7bpeDglWfVGFFUlMdikqgvsNQqRbpHmrf/lUicukMBgM9evRg0KBBmrUjIlIJWqIlIuIDUaENuSH1Rbq1Go0hwP7X2jSkHQmnwit0TcGuf+MuKqiiiqQmOxwSg6OSHbTcnhIfVSMigS4sLIyxY8cyePBghTsiIpWkGTwiIj5iNJjo3uYOmseksHTLFIpLc/1d0kXJNI/E4HZe9PlOh42ir5dVYUVSk500hGKzVi7gcToV8IjI6SVZt9xyC/Xq1fN3KSIitUJg/ZhZRCQANItJ4da06bSKTfN3KRd0ZcRAwvMuPtwByN+8Fo9dS2zqqhBTaKXHsDusPqhERAKVwWCgV69eTJo0SeGOiIgPaQaPiEgVCA2OZnjK/8+m/Qv5dud0XO6a1xbaTDDppVdCBdqi20sKsP6wuspqkprNGhVLPXPlWqQD2EoV8IjUVfXq1WPkyJG0adPG36WIiNQ6CnhERKpQ1+bX0zymK8u3PM+xwp3+LqeMzKgxmHIr1q46f8NX4HZXUUVS0x1t1pFYczBUooMWQElJsW8KEpGA0q1bNwYPHkxISOWDYhEROZsCHhGRKhYb0Yqbu73G+j3vs37P+7g9lftw7AsxQY1ond+QinxQtxUcx/bzj1VXlNR4R+NaE4mJkkoGPMXFRT6qSEQCQVRUFNdffz3t27f3dykiIrWaAh4RkWpgMppJT7yN1nHpLN/yPLnFe/1azxDLGAwV2CjX4/GQt3ZpFVYkgeBwZCMaVGzS11nMZgcul/9DThGpHl27dmXIkCGEhlZ+/y4RETk/bbIsIlKNGka145a0N7mixY1+a6eeFHYV9U9W7N4luQdw7N5RRRVJoDgUFI2zkh20zCGVTIhEJCBERkYyduxYbrzxRoU7IiLVRDN4RESqmdkYTK92k2gT34PlW54nrySn+m7uMXCNewCGCmys7PG4yFv9SRUWJYHiFJZKt0g3mhXwiNR2Xbp0YdiwYYSFhfm7FBGROkUzeERE/KRxvcsYk/4OlzcbDhiq5Z7XRN9AcGHFPmAX5fyC6+ihKqpIAonFXPmfwhuMpT6oRERqovDwcEaPHs2oUaMU7oiI+IFm8IiI+FGQyULfDn8kMb4HX2ydSqHtWJXdK8wYRafCtsDFt2x3u5wUrPq0ymqSwFHQoAkNfNAi3YPNB9WISE2TnJzM8OHDiYiI8HcpIiJ1lmbwiIjUAM1jUrg1fQadmmRRVbN5hkTchtF+8eEOQOHu/+AuyKuSeiSwHGuaRGxQcKXHcbkV8IjUJmFhYYwaNYoxY8Yo3BER8TPN4BERqSFCzOH07/gASY0HsGLbi5ws3uezsZuFtCfhZBjguehrXA4bhWvUOUtOO9KgBRHuyrdId7pKfFSRiPhbUlISI0aMIDIy0t+liIgICnhERGqcJvWSGZP2Nj/u/Rfr97yPy12xWTflyTCPwOCp2Afz/K3f4ynVbAs57XBEQxpV/rcidntx5QcREb8KDQ0lKyuLK664wt+liIjIbyjgERGpgUzGINJa30r7hn1Ykf0SB0/9dMljdYsYSPipioU7Dlshxd99dcn3lNrnkDmaBpXsoAVgs1l9UI2I+IPBYKBr165kZGRoOZaISA2kgEdEpAarH96MG1JfZGvOMr7e+RY2R2GFrjcTTJrtSqhAW3SAvI2rwF35D/NSe+QTUukW6QDWEs3gEQlECQkJDB8+nBYtWvi7FBEROQcFPCIiAeCyJoNoFZfGmh1vsP3Iyou+LjPqVky5FQt3Sgtzsf3nh4qWKLWYx2DAYqp8i3TwYLUq4BEJJCEhIVx77bWkp6djNKo/i4hITaaAR0QkQIQF1yOj06N0bHwtK7OnkV9y+LznNwhqTOv8eKjgprh567SxspSVH9+KOB900DIHO3G73T6oSESqw+WXX87gwYO1ibKISIBQwCMiEmBaNEhlbPpMvt/9Hpv2LcDlKX/n2yGW0RgquKTGeuIA9l3ZvihTapGjjdsRaw6momHh7wUFVWw2mYj4R3x8PMOGDSMxMdHfpYiISAUo4BERCUBmUwg92k7gssYDWb3jdfbm/ljm/aSwq6h30lChMT0eN/lff+rLMqWWONKgBRGeyrdIN5hLfVSRiFSF4OBg+vXrR48ePTCZTP4uR0REKkgBj4hIAKsf3ozruj7Hr8fWseaXN04v2/IYuMY1AEMFN1YuOrQT5+GDVVSpBLLD4fE09kGLdINRAY9ITdWpUyeysrKIjo72dykiInKJFPCIiNQCifFX06JBKhv2zSPihIPgExULd9wuJwWrPqmi6iTQHTJFEl9c+Q5aHmw+qEZEfCk2NpahQ4fSrl07f5ciIiKVpIBHRKSWMJuCSWt9KySUwPZf4PCRi762cM/PuPNPVWF1EsjyPcHYSiof8LjcJT6oRkR8ISgoiL59+9KrVy/MZn0kEBGpDfR/cxGR2iY0FFK6QItmsG0HFBSc93SX00bhms+rqTgJNG6jiVCftEgHh1MBj0hN0LFjR7KysoiJifF3KSIi4kMKeEREaquYGOieBgcPwS87obT8/U/yt63HY9MHbynfycZtaRQS4pOx7HarT8YRkUvTvHlzMjIyaNWqlb9LERGRKqCAR0SkNjMYoFkTSGgIu/fAnn3g+u9SG4etiOJ1K/xYoNR0RxPaEmsOorIt0gFKbMWVL0hEKiwuLo6BAweSnJzs71JERKQKKeAREakLzGZo1xaaN4MdOyHnEAD5/15dJvAR+b2j9ZsT7oMW6QBWqwIekeoUFRVF//79SU1NxWg0+rscERGpYgp4RETqEosFunSCVi1xbFxPyabv/F2R1HCHwuJo4ZPu5m5KSrRES6Q6WCwWevfuTffu3QkODvZ3OSIiUk0U8IiI1EVRkQT17UdczFvk//NV7L9s9XdFUkPlGCNIsFZ+9k5QsBOPx+ODikTkXEwmE+np6fTt25fw8HB/lyMiItVMAY+ISB1m6ZKK5aVZWNd+Rf7s13Ee3OfvkqSGKfQEUeqDFunmYLsPqhGR8hgMBi6//HIGDBigzlgiInWYAh4RESGs+zWEpvWmeMUnFLz/Dq7cY/4uSWoAZ1AwESaLT8Yymn2yzktEfqddu3YMGjSIxo0b+7sUERHxMwU8IiICgMFkImLgcML6DKLok3kUfjgLd1GBv8sSP8pt0oEEH7VIx6CAR8SXmjZtyqBBg2jTpo2/SxERkRpCAY+IiJRhDLEQNfI2IjKvp+jTDylc9D7ugjx/lyV+cLRRGxqYfNMi3YOt8gWJCA0aNGDgwIF06tQJg8Hg73JERKQGUcAjIiLlMoZFEHXj7UQMvZmizxdS+NF7uE/l+rssqUaH6zUlwmPC6oOAx+kq8UFFInVXw4YN6du3L507d1bLcxERKZcCHhEROS+jJZSoEWOIzLqBomWLKFz4Hq4TR/1dllSDw6GxtPbR3sgOp1qki1yKpk2b0rdvXzp27KgZOyIicl4KeERE5KIYgkOIHHozERnXU7xiCQUfzsJ19JC/y5IqdMgQRrPiys/eAbDbNYNHpCJat25N3759adu2rb9LERGRAKGAR0REKsQQFERExvWEXzuM4q8+p3D+/+I8dMDfZUkVKHQHUWrzTcBTYiv2yTgitV2HDh3o27cvLVq08HcpIiISYBTwiIjIJTGYzEQMGEr4NYOxfv0FBfPexXlgj7/LEh9xhIQT5aMW6QBWa5HPxhKpbQwGA8nJyfTt21ftzkVE5JIp4BERkUoxmEyE980grPdAStZ+RcG8mTj27PR3WVJJx5t1oIklBPIrP5bB6MZmUxctkd8zGo2kpKTQp08f4uLi/F2OiIgEOAU8IiLiEwajkbCe/Qnt0Q/b92so+Og97Nt+8ndZcomONGxDA3Mw4Kz0WOZgOx6Pp/JFidQSZrOZK6+8kl69elG/fn1/lyMiIrWEAh4REfEpg8FAaHofQtP7YN+5jcLFH2D9ZgU4Hf4uTSrgSHQTwt1GfNH7yhykf/ciACEhIaSlpdGjRw8iIyP9XY6IiNQyBo9+pCYiIlXMdfIERZ8vpGjpQtx5J/1djlyEmSOeoW1QIkW5lQ9nwuudYMuOz31QlUhgiomJIS0tjdTUVMLCwvxdjoiI1FKawSMiIlXOFBNL9JhJRN10O9bVyylc8gGO3b/4uyw5j4OeUFr6qEU6xlLfjCMSQAwGA23btuXqq6+mXbt2GI1Gf5ckIiK1nAIeERGpNoagYMIHDCF8wBBsWzZRtPgDSr7/Gtw+ChLEZ6zuIEptbp+M5XZrg2WpOywWC6mpqaSlpREbG+vvckREpA5RwCMiIn5hSe6KJbkrzqOHKPpkPkVfLMZTXOjvsgSwhdejfpDvWqS7XCU+G0ukpkpISCA9PZ3LL7+c4OBgf5cjIiJ1kPbgERGRGsFtK6F4xacUffIvnAf3+bucOm1/+3TWpN5Fg6MG3wwYup49e7f7ZiyRGsRkMpGcnEx6ejotW7b0dzkiIlLHaQaPiIjUCEZLKJFZNxAxeCS2jesoXvoRJT9+Cy4t36puRxsm0sAUhC9apAOU2n3Ri0uk5oiKiqJbt25cddVV6oYlIiI1hgIeERGpUQwGA6Gp3QlN7Y7rVC7FX31G8Zef4Dywx9+l1RlHIhOI9PimRTqAzVbso5FE/KtVq1akp6dz2WWXYTKZ/F2OiIhIGQp4RESkxjLVb0DU9WOJun4spdk/U/zlEqxff4mnRIFBVToUUp+kUt+t4C4uLvLZWCLVzWKx0KVLF9LT02nUqJG/yxERETknBTwiIhIQQpI6E5LUmXp3PkTJtyso/nIJpVs2+busWinHYyHRRy3SjSYXpaVqky6BxWQy0b59e1JSUkhKSsJs1l+ZRUSk5tOfViIiAczj8bB161bCw8Np1apVpcfbunUr69atY/z48RiNRh9U6HtGi4Xw/lmE98/CcejA6Vk9Kz/DlXvM36XVGsUuM/ZS37RIDwp2+GQckerQvHlzUlJS6Ny5M+Hh4f4uR0REpELURUtEJMCFhISQnp7O6tWrKz3WiBEjWLRoEZs2bSIlJaXyxVUTj8uF7d/fU/zFEkp++BqcChUulTU6nlcHPEOnPN+0SQ+NLGDbro99MpZIVYiJiSElJYWUlBRiY2P9XY6IiMgl0wweEZEAV79+fYKDgyt0TXFxMWazmZCQkDLHs7KyWLRoEWvWrDkr4CktLcVmsxEZGVnjZvcYTKb/bsxckId11VKKV36G41e15q6oo02TaPy73xeVYTRreZbUPKGhoXTu3JmUlBS1NxcRkVpDM3hERAJc8+bNad++PV9++eVFXzNo0CCWL19+Sffbs2dPwHwgcuTsx/rNF5R8/SWOfb/6u5yA8F2fcZxqPgAO+WYPnvD6B9iyfZVPxhKpjDP76nTt2pUOHTpoXx0REal19CebiEiAMxqN5OXlnXW8uLiYlStXMnTo0LPeu//++xk9ejTBwcEYDAb27NlDYmLiWecdPnwYq9VKYmKidwZPIC1hCGrSnOibJxB98wQc+37F+vWXWL/5AmfOfn+XVmMdiWxEfY8JK74JeFwem0/GEblU2ldHRETqCs3gERGp4bKzsyksLMRisZRZGmUymUhKSqJly5YUFBSQm5uLwWDwvn/nnXcyc+ZM5syZw6hRo8od2+Px0LdvX7Kzs9m2bRsNGjQo8/5zzz3HY489xnPPPcfDDz9cNQ/oB/Zft2P9+ktK1n2F89ABf5dTo7w+YgqdzC0pOumbfYyCIgegMUAAAB+rSURBVH/ml13/8clYIhfDYDDQtGlTLrvsMpKTkwMqlBYREakMzeAREanhJk+ezOLFi8863rVrVzZu3AjAqVOnWLNmDX369AHgqaeeYvr06fTs2ZO+ffuec2yDwcDIkSP54x//yGOPPcZbb71V5v2PPvqIkJAQbrjhBt89UA0QnNiB4MQO1Lv9j9j37KRk7VdY167EuX+3v0vzuxx3CO191CIdwO6w+mwskXMxGo20atWK5ORkOnbsSHR0tL9LEhERqXaawSMiUsOtWbOGoqIiIiIiMJlMWK1WMjIyuPvuu3nttddo2bIl+/bto3///nzxxRc88sgj/P3vf+fuu+/mlVdeueA+Ey6Xi/bt21NYWMjOnTuJiooCYNOmTVxxxRU89NBD/P3vf6+OR/U7x4G9lKxdiXXdVzh+3eHvcvzigSGvMKCkns/Gsxm/4vDhgz4bT+QMs9lM27ZtSU5OJikpibCwMH+XJCIi4leawSMiUsP17t27zNeLFi3C7XZz7bXXeo+1atWKFStWcNVVV7FhwwamTp163iVVc+fOpaCgwPt1//79SUxMZO7cuWXuAxAdHe2d2eNyuWjXrh0DBgzwybPVNEHNWhJ083iibh6P80gOJT9+i23DOko3b8BTWvu7QRXENiUhxAIlvhuzpKTYd4NJnRcREUH79u1JSkqiXbt2Fe4gKCIiUptpBo+ISIC57bbbWLBgAcePHycsLIyWLVty+eWXY7PZWL58Oe+99x5jxow57xht2rTh118vravUpEmTzlrKVdt57KXYNm/CtnEdtg1ra+0mzTu79OeHTrcSc8Rw4ZMvUs6pf2G32302ntQ9jRo1IikpiaSkJJo1a1ZmrzERERH5L83gEREJIDk5OcybN48xY8actRzhr3/9K1988QUHDlx402Cz2Uz//v0r1FodwOl04nQ6K3RNbWAIDiH0inRCr0iHO/+M8/BBSjZ+h23jOkp/+hFPae3oFHU0tiUxpiDAN/+OTSaXwh2pMLPZTOvWrb2hTr16vlsyKCIiUpsp4BERCSDPPPMMDoeD++6776z30tLSuOuuu/jrX/9Kr1696N69+znHKSwspH79+hW+v9lsvuCePnWBOaEpkVk3EJl1Ax6HndItmyjZsA7bhnU4D+71d3mX7HB4Q+JcRny1LbI5WOGOXJjJZKJp06YkJibSunVrWrRoQVBQkL/LEhERCTj6W7qISIBYvXo106dP55ZbbqFTp07lnvP888+zdOlShg4dysqVK7n88svLPe/EiROXFPDI2QxBwVhS0rCkpMHEB3EePYRtwzpKNq6j9OcNeEoCp4vUIXMUDe2+W7ltClLAI2czGo00btzYG+i0atVKe+mIiIj4gAIeEZEAcPDgQW666SaioqKYOnXqOc+LjIxk8eLF9OzZk+7du/PWW29x6623ljknJycHu91OUlJSVZddJ5kbNiZi8EgiBo/E43Ji37Wd0q3/wb7135Ru+wl3QZ6/SzynHFcwHW2+a5FuMNb+janlwgwGAw0bNiQxMdEb6lgsFn+XJSIiUuso4BERqeGys7MZPHgwx48fZ/HixSQkJJz3/M6dO7Ny5UoyMjIYO3Ysc+bM4b777iMjIwODwcDq1asBuPrqq6uh+rrNYDIT0j6ZkPbJMGIMHo8H54G9lG799/+9/oPr2GF/lwmAx2DA7jLhsLt9OGbt2JtIKi4uLq5MoBMeHu7vkkRERGo9BTwiIjVYXl4emZmZ7N27lxdeeIEhQ4Zc1HWpqals3LiRG264gS+++ILk5GSuueYaLBYLb7/9NrGxsaSkpFRx9fJ7BoOBoOatCGreioiMEQA4TxyldMu/vbN8HPt3gx8aXObFt6KJxQI+zGTcHgU8dYHBYCAuLo4WLVp4A52oqCh/lyUiIlLnKOAREanB6tWrx/r16/noo4+YNGlSuecUFRWV2za4efPmrFu3jvnz5zNq1CgAFixYwDfffMMTTzyhTUxrCHNsQ8x9BhHeZxAA7sICSrN/+m/osysbnI4qr+Nok/Y09vGyGaezxKfjif8ZDAYaNGhAkyZNaNq0KU2bNqVJkybaQ0dERKQGMHg8fvgxoYiIVEpxcTETJ07kyJEjrFq1invvvZdXX331vNfs27ePlJQUgoKC2LJlC3FxcdVUrVSGx+HAsf9X7L/uwPHrDuy7d+DYs9Pnmzev6T8Ja5PeeHJ80yIdwGP5jr37dvpsPKl+9erV8wY5Z8Kc0NBQf5clIiIi5dAMHhGRABQeHo7D4eCnn37ijjvu4Omnn77gNY0bN2bw4MGMHz9e4U4AMQQFEZzYgeDEDt5jHrcb56H9pwOfM6HPrzsqtYHzofB4GruMFPui6P9js/lyNKlqkZGRZ4U5ERER/i5LRERELpJm8IiIBCibzaZONFKG88RRb+jj2H3614vdxPmFEVO50tyMopO+Ww6WW7KYgoJ8n40nvmE2m2nQoAGxsbE0bNjQG+ho3xwREZHAphk8IiIBSuGO/J45tiHm2IaEXtXLe8xVmI9jz06cB/fiOLgP58F9OA7uw3X8MLj/2zErxxlEZx+2SAewWjWDx58iIiKIi4s761W/fn2MRqO/yxMREREfU8AjIiJSi5kiozF1ToXOqWWOe+ylOA4dwHlwL86D+0iLiSXmZAgF+XZKrJUPekxBDpxO3+3nI+X77Wyc+Ph4YmNjiYuLIz4+XiGwiIhIHaMlWiIiIlKG3e6iIM9OQZ6DggI7RQUOCgscFBU6KCpwYLe7LziGJcxK9p4F1VBt7WYymYiMjCQ6OpqoqCiioqKoV6+eZuOIiIjIWTSDR0RERMoIDjYRGx9KbHz53ZJKS10UF/5f4FPopLjIQXGRE2uxkxKrE2uRE0OwvZqrDjzh4eHe0ObM67dBTlRUFOHh4RgMBn+XKiIiIgFAM3hERETE59xuN1arlaKiIoqLi8/5q9VqxW63e1+BuKwrKCgIi8WCxWIhJCTE++tv/7m8MMds1s/ZRERExHcU8IiIiEiN4Xa7cTgcZUKf374u9B7gnfFiMBi8rzNfn1nOVN57v3+ZzeZyg5vfBzhaIiUiIiI1gQIeEREREREREZEApx85iYiIiIiIiIgEOAU8IiIiIiIiIiIBTgGPiIiIiIiIiEiAU8AjIiIiIiIiIhLgFPCIiIiIiIiIiAQ4BTwiIiIiIiIiIgFOAY+IiNRJpaWlTJs2jS+++MLfpYiIiIiIVJoCHhERqXV++uknPv7447OOz5kzh//85z8AuFwuHnjgARYvXnzR477yyis8/vjj5OTkeI8tWbKErKwssrOzK1+4iIiIiMglUsAjIiK1zoMPPsh1113HAw88gNPpBMBqtTJ27Fj+53/+B4CwsDAAgoKCLmpMj8fDq6++yhtvvIHBYPAeP3r0KJ999hk2m83HTyEiIiIicvEU8IiISK3z2WefMWHCBKZNm0b//v2x2+2sX78ej8fDqFGjznldaWkp+fn55b738ccfs2vXLh599FEaN27sPX4mIPpt6AOQk5NDXl6eD55GREREROTCFPCIiEitY7FYmD59Ok8//TTDhw8nODiYZcuWATBu3DgMBoM3kHn55Ze9X1ssFlq0aFHumFOmTCEqKopJkyZdVA0TJkygW7du7Ny50zcPJSLV6lxhb0UVFhby/fffc/z4cZ+MJyIici4KeEREpNZ6/PHHuf/++3E6nbz//vukp6dz/Phx7wtg0qRJHD9+nGPHjrF//342bdp01jizZ8/mxx9/pHfv3kRGRl7wvs8++yzLli2jbdu2tGzZ0tePJSI+cOONN/LQQw+V+97cuXOJi4vj008/veA4n332GR6P55zvb9myhfT0dJYvX37JtYqIiFwMBTwiIlKrfP311/z8889lji1btoycnBxGjhxJbGys9wWnZ/vExsYSFxdHs2bNaN26dZlrT5486f0QaDRe+I/NmTNn8vjjj9O3b18WLlx40Xv8iEjVc7lcHDhwAIDdu3dz4MABSkpK2LVrF26323ve0KFDiYmJ4YknnjjveAsXLiQrK4tevXrxyy+/lHtOaGhomV9FRESqigIeERGpNRwOB7fddhupqan87W9/826wnJWVxZEjRxg/fnyFxvN4PNx+++3k5eV5A6HzmTZtGhMnTqR379588sknWCyWS3oOEakakyZNon///gCYzWYsFgvr16+nbdu2LFy4kB07drB9+3YOHjzI5MmTuffee9m+fbv3derUqTLjDR8+nGeeeYYffviBLl26MGfOnLPuaTabATCZTFX/gCIiUqeZ/V2AiIiIrwQFBfH555/z4IMP8uSTT/Lxxx+zZs0aTpw4QWhoKA6HgxMnTpS5xmazeY+53W5KS0vxeDw0b96cBx98kCVLlvCPf/yDDz744Lz3njJlCvPnzyczM5MPP/zQ26VLRGqO/v37M3PmTHJycoDTm6Nv376dsLAwBg8eTExMDKWlpee8/rXXXuMPf/iD92uTycRjjz1GZmYm9957L2lpaVX+DCIiIueiGTwiIlKrJCUlsXTpUl5//XUGDBhAZGQkbdu2JSEhgbi4uDIvgLffftv7dcOGDWnevDmZmZk4HA7279/PjTfeyJ///OcL3nf+/PncfffdLF68WOGOSA3Vq1cvAFatWuU9tm7dOq666irCwsIIDg7mySefxOPxlHmVlJQAEBISUu64KSkprF27FovF4t20/cyrU6dOAFx33XVnvffTTz9V8ROLiEhdooBHRERqpXvuuYfnn38egNzcXEpLS3E6nTz++OPA6Zk7Ho+H3r17c9NNN+HxeHC5XBQXF7Nu3TqCgoL48MMPmTVr1jnv8cMPP/DUU08BMHXqVN544w3vcgwRqXkaN27MrFmzuPbaa73HBg8ezH333QecO8A547f/fW/fvp1XXnnFuxQU/rvPzuTJk8nOziY7O5slS5YAp2f/nDk2derUMueLiIj4gv4WKiIitdLJkycpKSmhSZMmREdHlzkeHR1d7gc5o9FYZvaN0Wgsdx+d/Px8nnrqKV555RXvJsoDBgyogqcQEV+x2Wxs3ryZlJQUcnNzsdls5Ofn06FDB0pLS8nLy8NkMjF79my+/fbbMtf+dgPmM9544w1effVV3nnnHd555x2uvvpqbwAUHx9Phw4dALwBUJMmTbzHNmzYAKBN2EVExKcU8IiISK20aNEiHn74YVavXk3nzp29xw8ePEjz5s0rNe7EiRPJzc1lwoQJpKSklNmTQ0RqpoMHD5Kenk5ISAgmk4nCwkKys7NZsWIFpaWlfPLJJwAkJyczdOjQMtc6nc4yy7oAnnrqKdxuN2+99RY9evRg1qxZXHfddRWqyWAwVO6hREREfkNLtEREpFZavHgxpaWltGjRoszxTZs2kZSUdMnjdu/enS5durBy5UqmT5+u/XZEAkSbNm1wOp0UFxfz8ssvAzBq1ChOnTqF3W5n4MCBAHTt2pUJEyaUeY0bNw6gzHKs+vXr89prr7F69WpatWpF3759q/2ZREREfksBj4iI1Dq5ubksW7aM6667rszyrG3btnHw4EFSU1Mveez4+HhWrlzJNddcc8FzlyxZwrFjxy75XiJSNc60Mz916hTJycmsXr3a+95TTz111mbIZ/bKKa/DVo8ePdi2bRtNmzb1Hjt27Ji3tfqePXsAyMnJ8R47fPhwFT6diIjUVVqiJSIitc6//vUvHA4HN998c5njb775JgCZmZnnvHbfvn3Ex8dXePPT8vboeP755/n+++85cOAAjRs3rtB4IlI1vvvuO1atWkVsbCz169cnOjqaZ599lj59+gDwhz/8gXvvvZfJkyfjcDj4xz/+4b22YcOG5Y55+PDhMrMFp0yZwpQpU8qcc++99/r+YURERH5DM3hERKTWeeONN6hXr16ZTjnr16/nrbfeYtCgQVx22WXnvHb27Nk0adKEXbt2lTnudrtxuVxnnX8mCJo3b573p/Pbt2/n008/Zf369bRp00bhjkgNUVJSwp133klmZiaJiYnA6UDnyy+/9G58HBsbS4cOHRg5ciTr1q0jMTGRDh068NJLL7F+/fpyxx09ejQjRozwfv3SSy95W6xv3rwZOL1/15lj7733XhU/qYiI1EUKeEREpFZZunQp27ZtY/jw4QQHBwPw1VdfMXDgQCIjI3nllVfKnB8aGsqGDRvYsGEDP//8MwsWLCA8PNz74e8Mp9NZZv+NM3r16kW9evWYOnUqSUlJ3teQIUNwu91Mnjy56h5WRC6aw+Fg1KhRbN26lccee8x7fMSIEXTv3v2s/74zMzNxOBy8+uqrvP3227zzzjvMnDnzrPOys7P57rvvyMjIqJbnEBERORct0RIRkVrlm2++wWg0Mnr0aAAWLFjATTfdRGxsLJ9//jlt27Ytc/6ECROYOHEiV155JQBhYWG88sorZ3W3sdls2Gy2s+6XkJDArl272LZtW5kZPkajkdatW5fZl6Mmc7vdWK1WwsPDq6Wzj9Pp9LaUFqkOeXl5fPfdd9x+++2kp6d7j0dERJzVFh1Ob6L88MMP8/jjj+NwOBg5ciT/+te/MBrL/nz0xRdfpEGDBowdO7bcEFhERKS6aAaPiIjUKs8++yw//PAD/fr1A2DkyJHMnz+fjRs3csUVV5x1/vXXX8/Jkye9SyeKi4sZP378Wef98ssvZ7VJPqNBgwb07NmTPn36eF+9evUKmHAHTgddkZGRZ20iO3HixDKtn5977jl69ux53rFmz559zqUsVquVtLQ0nn322XLfP3ToECNHjmTp0qUVfAKR84uLi+PNN9/k73//+wXPLSwsZM6cOTz00EMkJibidDoZN27cWeHOzp07mTVrFhMmTMBisXiPa5NlERHxB4PH4/H4uwgRERHxrzvvvJMPPviAwsLCMseHDRvG0aNH+f777wG45557mDFjBikpKTz33HPltoYODw+nS5curFu3rtx73X333cyaNYvs7Oyz2tjfdNNNzJ8/n27durFq1Sq1oZcqc9VVV5GUlMQ///lP77H4+Hi6du3K9u3bOXLkCEePHqW4uJiBAweydetWbr75Zu666y66d++OyWRi6NChfPbZZ+zevZsWLVpQUFBQpnPfhezevZtWrVpVwdOJiEhdpLnRIiIiQlBQEJGRkeUeDwoK4qeffsJkMlFUVITZbGbr1q3MmTOHhIQESktLsdlspKSkEBwcjMPhwOFweMfYs2cPJ0+eJCQkBLPZzLBhwzAajeTl5VFSUoLH48HhcLBgwQLmz5/Pgw8+yPvvv8+QIUP49NNPK9zRTORi2Gy2MjPWdu/ezYkTJ1i+fDmdOnVi7ty5REdHEx0dzbp167j33nuZPXs2P/zwA2vXruXjjz/mk08+YcSIEd6g0m63A6c3Wb7//vvPee85c+Zw6623es8XERHxBQU8IiIiAkBISAgHDhxg8uTJzJgxA4vFgtFoxGQyMWLECA4fPozb7cZutxMTE8PixYtZvHixd3+ivXv30rRpU4xGIyEhId5xX3rpJd555x1CQkIICgryHp83bx7w3/1/7HY748aN4/nnn2f48OFkZmaSkZHB/PnziY+Pr/bvh9RuZ4LJMxISEujcuTPp6elMmzatzO/hyMhIZs2axejRo4mIiKBRo0YMGjSIPn368Je//KXMmBVR3r5eIiIil0pLtEREROqo3bt3s3v3btLS0vjLX/7CsmXLaNGiBdu3b+fjjz8mODiYRx99lNzcXGbPnk1eXh7Tpk3j008/5fPPP8fpdGKxWGjTpg0//vgjH3zwAb179+aee+4hLi6OtLQ0Nm/eTEpKCq+99hpbt24lKSmJRo0aeWuYOXMm27dv56WXXiIjI4MXX3yR1NRUnnvuOTp27EhmZib16tXjgw8+oFevXn78bkldUFBQQFRU1EWfr83CRUSkJlHAIyIiUke9+eab3HPPPWzYsIEZM2bw1ltv0aBBA1avXs3GjRu5++67cblcuN1uoqOjyc/PL7dLUEJCAkOHDuWdd96hU6dObN68mfDwcBwOB2azmeLiYo4dO0ZSUhJDhw7l3XffBU7P3ImJiSE/P5+srCwWLFhAcHAwjRo1YuLEiTzzzDN8//33DB06lNzcXCZMmMATTzxBkyZNqvtbJSIiIlLjKeARERGpo5599lkee+wxjh07xqOPPsrcuXP55ptv6Nq1q/ecm2++mSNHjrB69WoyMzM5duwYu3btIi8vDzjdVWv69OmkpKSwZ88eNm7cSFBQEE6nkz/96U/ExMTw+uuvc+zYMV5++WUeeOAB1q9fj9vtZty4cWRnZxMZGcn999/v7VBkt9sJDg721nD06FFmzZpFaWkpJpOJrKwssrKyuP3226ulpbuIiIhIINCcUhERkTrq+PHjhIaGEhcXR2lpKYmJiWXCnd8rKSlh69at2O12kpOTAThx4gQmk4k9e/bgcDjIz8/H5XKRkZHByy+/zJ133kmDBg3Ytm0b3bt35+abb+bhhx9mzZo1hIaGEh4eTmFhIfPmzSMiIgKLxVJmnx6A7du307hxY5YsWcKTTz7JokWLiIuL44477qjS74+IiIhIIFHAIyIiUkcdOHCAZs2aAVBUVHTevUdOnTrFfffdR1RUFCtWrOCZZ57xvmexWBgxYgQhISEkJSXh8Xho27YtAHv37mXHjh2kpaV5Z+WUlJQQHBxMSEgILpcLgP379+NyuZg+fTq33XZbmXuPGzeOb7/9lo4dO/Lhhx9y6NAhzdwRERER+R0FPCIiInXUzp07ad68OQDHjh0jNjb2nOeuXLmSG264wfv1ddddB0B4eDjz5s3joYceomfPnsyYMYP58+fz9ddfc/jwYeLj4+nZsydr1qwpd9xvv/2Wnj17ersJjRs3jnHjxp11XmJiovefGzduXOFnFREREantFPCIiIjUUStWrPAGK/v37/cuuyouLmbr1q1YLBYKCgqwWq20a9eODRs28Nprr7Fw4UImTZrEjBkzmDZtGv369WPw4MEATJkyBYCcnBxSU1MZOHAge/fuJTs7mz179tC6desyNezbtw+Al19+mWuvvbbcOidPnszPP/9cJd8DERERkdpCmyyLiIjUcceOHaNhw4aEh4fz+eefEx0dTWpqKhaLhZCQEAA8Hg8ejwe3243b7aaoqAiDwYDH4/G2Sd+5cyfdunXD4/EQFBTEn//8Zzp16sTo0aPp168fK1euPGcN1113HR999FG5740bN46vvvqK/fv3V8nzi4iIiNQGmsEjIiJSx61YsQKANm3aMHjwYJYuXYrD4QDg4MGDxMTE8Oijj/Lyyy8Dp9uiOxwOOnTowLBhw2jWrBkul4sxY8YQERFB586dcTqdzJw5k7Vr19KoUSNvuHPo0CESEhK89z6zRGvRokXn3VcnLi6uqh5fREREpFZQwCMiIlLHzZw5k8suu4y1a9fSvXt3MjMz2bFjBzExMQwdOpTi4mLee+89Bg0ahMfjYfz48URFRTF06FD++te/kp+fz7XXXsvhw4cpKirixhtvZPjw4XTp0oXx48ezePFirr/+etxud5lw57cGDx7MP/7xDwDy8vKIjo4uE/jY7XaGDx/OpEmTyMjIqJbvi4iIiEggUcAjIiJSh3377bd89dVXzJw5k/DwcObOncvmzZtJSEjgT3/6E//+979599136datGwBbtmzh6NGjuN1uIiMjAYiOjuaee+5h3rx5rFq1iltuuYXY2Fief/55XnzxRQ4fPszYsWNZvnw5J06cKHP/vLw8AKKioujQoQN2u5309HSKiop44IEHuO2227BarQwfPpzvvvuOrl27KuARERERKYf24BEREamj8vPzueKKKzCbzWzevJmgoCDvey+++CJ//vOfue+++5g2bRoAixYt4v3336dp06a89tprNGzYkPHjx/O3v/2NDRs20K1bN5KTk3niiScYOXIkHo+HKVOm8OSTTzJu3DhmzJhxzlpGjRrF3LlzsVqtrFy5kjlz5rBw4UJiYmKwWCzY7Xbmz59Pr169qvz7IiIiIhKIFPCIiIjUQfn5+fTv359NmzaxatWqMsHJ1KlTeeSRR+jXrx/Lli3DbDZjtVq57LLLKC0t5eeff2bGjBlMnjwZgK1bt5KZmYnNZiM5OZmcnBy2bduGwWCgqKiIxMREoqKiiI6OZtmyZWXqeO+993jwwQfp1q0bLVq04LPPPuPdd9/lpptuYufOnTz99NO8//77hISEMGHCBCZPnnzOZV4iIiIidZnR3wWIiIhI9YuKiuLBBx/khRdeOGtWTHx8PF26dOHDDz/EbD69mnv8+PHs27ePf/7zn8TGxvLII48wbNgwAFauXMkLL7zAG2+8wQMPPMD27dtZunQpABEREdx///3s2rULu91ObGxsmdeZzZfXr1/PDz/8wB133EFqaioAbdu2Zfbs2WzYsIG0tDReffVVUlJSvMu6REREROS/NINHREREzuJ2uzEaT/8c6NSpU2RmZpKens6LL75Y5rxRo0aRkZHB2LFjAXC5XDzyyCNMmDCBDh06AJCbm0vfvn157rnnyMzMLHP96tWr+d///V8mTpxIjx49zlvThx9+iN1uZ/To0b56TBEREZFaQwGPiIiIXJDL5cLtdpfZp0dEREREag4FPCIiIiIiIiIiAU578IiIiIiIiIiIBDgFPCIiIiIiIiIiAU4Bj4iIiIiIiIhIgFPAIyIiIiIiIiIS4BTwiIiIiIiIiIgEOAU8IiIiIiIiIiIBTgGPiIiIiIiIiEiAU8AjIiIiIiIiIhLgFPCIiIiIiIiIiAQ4BTwiIiIiIiIiIgFOAY+IiIiIiIiISIBTwCMiIiIiIiIiEuAU8IiIiIiIiIiIBLj/B8kFQX0dnLyrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 465,
       "width": 572
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图框的大小\n",
    "fig = plt.figure(figsize=(10,8))\n",
    "# 前两个1表示共有1*1个子图，最后一个1表示第1个子图\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# 绘制饼图，textprops={'fontproperties':font}显示中文\n",
    "plt.pie(x=data_month_cost2.values,\n",
    "        labels=data_month_cost2.index,\n",
    "        autopct='%.1f%%',\n",
    "        shadow=False,\n",
    "        startangle=90,\n",
    "        center = (3,3),\n",
    "        textprops={'fontproperties':font})\n",
    "\n",
    "# 添加标题，fontproperties=font显示中文\n",
    "plt.title(\"2月份销售金额\", fontproperties=font)\n",
    "# 显示图例，prop=font显示中文\n",
    "plt.legend(prop=font)\n",
    "# 饼图保持圆形\n",
    "plt.axis('equal')\n",
    "# 显示图像\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 466,
       "width": 572
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图框的大小\n",
    "fig = plt.figure(figsize=(10,8))\n",
    "# 前两个1表示共有1*1个子图，最后一个1表示第1个子图\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# 绘制饼图，textprops={'fontproperties':font}显示中文\n",
    "plt.pie(x=data_month_cost3.values,\n",
    "        labels=data_month_cost3.index,\n",
    "        autopct='%.1f%%',\n",
    "        shadow=False,\n",
    "        startangle=90,\n",
    "        center = (3,3),\n",
    "        textprops={'fontproperties':font})\n",
    "\n",
    "# 添加标题，fontproperties=font显示中文\n",
    "plt.title(\"3月份销售金额\", fontproperties=font)\n",
    "# 显示图例，prop=font显示中文\n",
    "plt.legend(prop=font)\n",
    "# 饼图保持圆形\n",
    "plt.axis('equal')\n",
    "# 显示图像\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 467,
       "width": 572
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图框的大小\n",
    "fig = plt.figure(figsize=(10,8))\n",
    "# 前两个1表示共有1*1个子图，最后一个1表示第1个子图\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# 绘制饼图，textprops={'fontproperties':font}显示中文\n",
    "plt.pie(x=data_month_cost4.values,\n",
    "        labels=data_month_cost4.index,\n",
    "        autopct='%.1f%%',\n",
    "        shadow=False,\n",
    "        startangle=90,\n",
    "        center = (3,3),\n",
    "        textprops={'fontproperties':font})\n",
    "\n",
    "# 添加标题，fontproperties=font显示中文\n",
    "plt.title(\"4月份销售金额\", fontproperties=font)\n",
    "# 显示图例，prop=font显示中文\n",
    "plt.legend(prop=font)\n",
    "# 饼图保持圆形\n",
    "plt.axis('equal')\n",
    "# 显示图像\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "绘制促销商品和非促销商品销售金额的周环比增长率柱状图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>是否促销</th>\n",
       "      <th>销售金额</th>\n",
       "      <th>销售日期</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>否</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>否</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>否</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>否</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>否</td>\n",
       "      <td>11.9</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  是否促销  销售金额       销售日期\n",
       "0    否   4.0 2015-01-01\n",
       "1    否   3.0 2015-01-01\n",
       "2    否   2.4 2015-01-01\n",
       "3    否   6.5 2015-01-01\n",
       "4    否  11.9 2015-01-01"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取是否促销、销售金额、销售日期\n",
    "data_new = data[['是否促销','销售金额','销售日期']]\n",
    "data_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据是否促销分组，拆分出两个表\n",
    "data_promotion_yes = data_new.loc[data_new['是否促销'] == '是',:]\n",
    "data_promotion_no = data_new.loc[data_new['是否促销'] == '否',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "      <th>天数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售日期</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>565.48</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>470.99</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-03</th>\n",
       "      <td>360.22</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>388.44</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>500.70</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              销售金额  天数\n",
       "销售日期                  \n",
       "2015-01-01  565.48   1\n",
       "2015-01-02  470.99   2\n",
       "2015-01-03  360.22   3\n",
       "2015-01-04  388.44   4\n",
       "2015-01-05  500.70   5"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算促销表和非促销表的日销售金额\n",
    "data_promotion_yes = data_promotion_yes.groupby('销售日期').sum()[['销售金额']]\n",
    "data_promotion_yes['天数'] = range(1,len(data_promotion_yes)+1)\n",
    "data_promotion_no = data_promotion_no.groupby('销售日期').sum()[['销售金额']]\n",
    "data_promotion_no['天数'] = range(1,len(data_promotion_no)+1)\n",
    "data_promotion_yes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据天数返回第几周的序列\n",
    "def weeks(DataFrame):\n",
    "    import math\n",
    "    x = DataFrame['天数'] - DataFrame['天数'].min() + 1\n",
    "    week = []\n",
    "    for i in x:\n",
    "        week.append(math.ceil(i / 7))\n",
    "    return week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "      <th>周数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>销售日期</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>565.48</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>470.99</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-03</th>\n",
       "      <td>360.22</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>388.44</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>500.70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              销售金额  周数\n",
       "销售日期                  \n",
       "2015-01-01  565.48   1\n",
       "2015-01-02  470.99   1\n",
       "2015-01-03  360.22   1\n",
       "2015-01-04  388.44   1\n",
       "2015-01-05  500.70   1"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将周数加入新列，并删除销天数\n",
    "data_promotion_yes['周数'] = weeks(data_promotion_yes)\n",
    "data_promotion_yes.drop(['天数'], axis=1, inplace=True)\n",
    "data_promotion_no['周数'] = weeks(data_promotion_no)\n",
    "data_promotion_no.drop(['天数'], axis=1, inplace=True)\n",
    "data_promotion_yes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售金额</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>周数</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4318.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5097.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4911.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6623.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8064.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14024.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>21526.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4112.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3357.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4444.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3817.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5174.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3788.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4518.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5120.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5903.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4026.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        销售金额\n",
       "周数          \n",
       "1    4318.69\n",
       "2    5097.48\n",
       "3    4911.99\n",
       "4    6623.89\n",
       "5    8064.62\n",
       "6   14024.51\n",
       "7   21526.50\n",
       "8    4112.94\n",
       "9    3357.02\n",
       "10   4444.59\n",
       "11   3817.96\n",
       "12   5174.04\n",
       "13   3788.57\n",
       "14   4518.38\n",
       "15   5120.96\n",
       "16   5903.24\n",
       "17   4026.34"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据周数分组,得到促销商品和非促销商品的周销售金额\n",
    "data_promotion_yes = data_promotion_yes.groupby('周数').sum()[['销售金额']]\n",
    "data_promotion_no = data_promotion_no.groupby('周数').sum()[['销售金额']]\n",
    "data_promotion_yes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "周数\n",
       "1        NaN\n",
       "2     0.1803\n",
       "3    -0.0364\n",
       "4     0.3485\n",
       "5     0.2175\n",
       "6     0.7390\n",
       "7     0.5349\n",
       "8    -0.8089\n",
       "9    -0.1838\n",
       "10    0.3240\n",
       "11   -0.1410\n",
       "12    0.3552\n",
       "13   -0.2678\n",
       "14    0.1926\n",
       "15    0.1334\n",
       "16    0.1528\n",
       "17   -0.3179\n",
       "Name: 销售金额, dtype: float64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算促销商品和非促销商品销售金额的周环比增长率\n",
    "promotion_yes_rate = round(data_promotion_yes['销售金额'].pct_change(),4)\n",
    "promotion_no_rate = round(data_promotion_no['销售金额'].pct_change(),4)\n",
    "promotion_yes_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 384,
       "width": 620
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图框的大小\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "# 前两个1表示共有1*1个子图，最后一个1表示第1个子图\n",
    "ax = fig.add_subplot(1,2,1)\n",
    "# 绘图--折线图\n",
    "plt.bar(data_promotion_yes.index, # x轴数据\n",
    "         promotion_yes_rate, # y轴数据\n",
    "         label = '促销商品',\n",
    "         color = 'indianred')\n",
    "# 添加标题和坐标轴标签\n",
    "plt.title('销售金额周环比增长率柱状图', fontproperties=font)\n",
    "plt.xlabel('周数', fontproperties=font)\n",
    "plt.ylabel('增长率', fontproperties=font)\n",
    "# 显示label\n",
    "plt.legend(prop=font)\n",
    "# 设置x轴显示密度间隔为5\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(1))\n",
    "\n",
    "ax = fig.add_subplot(1,2,2)\n",
    "plt.bar(data_promotion_no.index, # x轴数据\n",
    "         promotion_no_rate, # y轴数据\n",
    "         label = '非促销商品',\n",
    "         color = 'steelblue')\n",
    "# 添加标题和坐标轴标签\n",
    "plt.title('销售金额周环比增长率柱状图', fontproperties=font)\n",
    "plt.xlabel('周数', fontproperties=font)\n",
    "plt.ylabel('增长率', fontproperties=font)\n",
    "# 显示label\n",
    "plt.legend(prop=font)\n",
    "# 设置x轴显示密度间隔为1\n",
    "ax.xaxis.set_major_locator(mpl.ticker.MultipleLocator(1))\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
